# io.github.praneeth12098/x402-factory (remote · x402-factory.com) 200+ x402 paid data APIs for AI agents: prediction markets, verified weather, econ, SEC filings - Trust score: 68/100 (medium) - Change this week: +3 - Registry status: active - Liveness: live - Owner verified: no - Last scored: 2026-11-05 ## Components - remote · `x402-factory.com`: 68/100 (this document), [markdown](https://verifymcp.io/servers/praneeth12098-x402-factory/x402-factory.md), [page](https://verifymcp.io/servers/praneeth12098-x402-factory/x402-factory) ## Channel facts - Endpoint: `https://x402-factory.com/mcp` - Transports: `streamable-http` - Auth: `none` - Version: `1.0.0` ## Trust breakdown How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog) Scored 2026-11-05. - **Endpoint Security**: 57/100 - The endpoint's TLS certificate is valid, in date, and uses a strong key. - Authorisation not fully verified: no authorisation is required to call this server, and 219 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. - HTTPS is enforced; there's no plaintext access path. - HSTS check failed: the Strict-Transport-Security header is absent. - DNSSEC check failed: this domain isn't protected by DNSSEC. - **Transport & Reachability**: 100/100 - Verified streamable-http transport via a live MCP handshake. - **Schema Quality & AI Usability**: 64/100 - AI-judged instruction clarity (good). - Context-footprint check failed: tool/resource definitions use about 31891 tokens (~145/item across 219 items; 219 tools + 0 resources), over budget; trim descriptions and params. - Usage-examples check failed: none of the tools include examples. - **Stability & Change Management**: 63/100 - Stability observed for 19 of 30 days with no destabilising changes; credit accrues until the full window elapses. - **Tool Coverage**: 78/100 - 100% of tools have a non-trivial description (not blank, and not just the tool's name). - 34% of tool parameters carry a description. - **Tool Safety**: 75/100 - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured. - 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "probability_evergreen_government-shutdown-this-quarter" implies "shutdown" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. - An AI judge read all 219 captured unit(s) of tool text and found none that tries to manipulate the model reading it. - **Capabilities**: 100/100 - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28. ## Install ### How do I install the io.github.praneeth12098/x402-factory MCP server? io.github.praneeth12098/x402-factory is a hosted endpoint at https://x402-factory.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation. ### Claude ```bash claude mcp add --transport http praneeth12098-x402-factory 'https://x402-factory.com/mcp' ``` ### Cursor ```json { "mcpServers": { "praneeth12098-x402-factory": { "url": "https://x402-factory.com/mcp" } } } ``` ### VS Code ```json { "servers": { "praneeth12098-x402-factory": { "type": "http", "url": "https://x402-factory.com/mcp" } } } ``` ### Codex ```toml [mcp_servers.praneeth12098-x402-factory] url = "https://x402-factory.com/mcp" ``` ### opencode ```json { "$schema": "https://opencode.ai/config.json", "mcp": { "praneeth12098-x402-factory": { "type": "remote", "url": "https://x402-factory.com/mcp", "enabled": true } } } ``` ### OpenClaw ```bash openclaw mcp add praneeth12098-x402-factory --url 'https://x402-factory.com/mcp' --transport streamable-http ``` ### Hermes ```yaml mcp_servers: praneeth12098-x402-factory: url: "https://x402-factory.com/mcp" ``` ### Netclaw ```json { "McpServers": { "praneeth12098-x402-factory": { "Transport": "http", "Url": "https://x402-factory.com/mcp" } } } ``` ### Vellum ```bash assistant mcp add praneeth12098-x402-factory -t streamable-http -u 'https://x402-factory.com/mcp' ``` ### Other ```json { "mcpServers": { "praneeth12098-x402-factory": { "type": "http", "url": "https://x402-factory.com/mcp" } } } ``` The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs. ## Changelog Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims. ### 2026-11-05 (score 68, +1) No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-11-03 (score 67, +1) No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-10-31 (score 66, +1) No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-10-29 (score 65, +1) No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-10-27 (score 64, +1) No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-10-25 (score 63, +1) No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-10-23 (score 62, +1) No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-10-21 (score 61, +1) No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes. ## MCP tools (219) ### `core_ping` (~82 tokens) Cheapest endpoint: liveness plus x402 payment pipeline check. Returns ok with the server time and whether this call was paid. Use it to verify your x402 client end to end before spending on data endpoints. [HTTP: GET /v1/ping · price $0.001 via x402 · docs https://x402-factory.com/docs/core.ping] ### `econ_calendar` (~105 tokens) Upcoming US economic release dates across all tracked series. Every tracked US economic series (CPI, payrolls, GDP, PCE, claims, housing, and more) with its next scheduled release date from the agencies' published calendars, sorted soonest first. The cheap planning read before paying for a full series view. [HTTP: GET /v1/econ/calendar · price $0.01 via x402 · docs https://x402-factory.com/docs/econ.calendar] ### `econ_dashboard` (~104 tokens) US macro dashboard: every tracked series' latest print in one call. All tracked US economic series in one response: the latest headline print (with its date and a revised flag) plus each series' next scheduled release date. The one-call state of the US economy for agents that would otherwise fan out fifteen reads. [HTTP: GET /v1/econ/dashboard · price $0.03 via x402 · docs https://x402-factory.com/docs/econ.dashboard] ### `econ_dashboard_changes` (~127 tokens) Free: count of econ observations printed or revised changed since your cursor. Free polling probe for /v1/econ/dashboard/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/econ/dashboard/changes · price free via x402 · docs https://x402-factory.com/docs/econ.dashboard.changes] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `econ_dashboard_delta` (~168 tokens) Only the econ observations printed or revised changed since your cursor (delta o. Keyset delta of /v1/econ/dashboard: pass since= and get only the econ observations printed or revised added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/econ/dashboard/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/econ/dashboard/delta · price $0.015 via x402 · docs https://x402-factory.com/docs/econ.dashboard.delta] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `econ_series` (~173 tokens) US economic series: latest print, revisions, surprise vs labeled expectation. One tracked US economic series (BLS/BEA/Fed/Census via FRED/ALFRED): the latest print with first-release vs latest value (revisions never masquerade as print-day numbers), surprise against a labeled expectation — market-implied when a matching prediction market exists, else a trend model — the next scheduled release date, and a 12-observation mini-series. Public-domain federal data only. [HTTP: GET /v1/econ/:series · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series] Input parameters: - `series` (string, required): Series slug, e.g. cpi, core-cpi, payrolls (GET /v1/econ/calendar lists all) ### `econ_series_building-permits` (~151 tokens) Building permits (Census, monthly): latest print, revisions, surprise. Latest Building permits print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to building-permits. [HTTP: GET /v1/econ/building-permits · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.building-permits] ### `econ_series_core-cpi` (~151 tokens) Core CPI inflation (BLS, monthly): latest print, revisions, surprise. Latest Core CPI inflation print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to core-cpi. [HTTP: GET /v1/econ/core-cpi · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.core-cpi] ### `econ_series_core-pce` (~153 tokens) Core PCE inflation (BEA, monthly): latest print, revisions, surprise. Latest Core PCE inflation print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to core-pce. [HTTP: GET /v1/econ/core-pce · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.core-pce] ### `econ_series_cpi` (~145 tokens) CPI inflation (BLS, monthly): latest print, revisions, surprise. Latest CPI inflation print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to cpi. [HTTP: GET /v1/econ/cpi · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.cpi] ### `econ_series_fed-funds` (~154 tokens) Effective fed funds rate (Fed, monthly): latest print, revisions, surprise. Latest Effective fed funds rate print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to fed-funds. [HTTP: GET /v1/econ/fed-funds · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.fed-funds] ### `econ_series_gdp-growth` (~151 tokens) Real GDP growth (BEA, quarterly): latest print, revisions, surprise. Latest Real GDP growth print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next quarterly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to gdp-growth. [HTTP: GET /v1/econ/gdp-growth · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.gdp-growth] ### `econ_series_housing-starts` (~151 tokens) Housing starts (Census, monthly): latest print, revisions, surprise. Latest Housing starts print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to housing-starts. [HTTP: GET /v1/econ/housing-starts · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.housing-starts] ### `econ_series_initial-claims` (~154 tokens) Initial jobless claims (DOL, weekly): latest print, revisions, surprise. Latest Initial jobless claims print from the DOL via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next weekly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to initial-claims. [HTTP: GET /v1/econ/initial-claims · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.initial-claims] ### `econ_series_payrolls` (~152 tokens) Nonfarm payrolls (BLS, monthly): latest print, revisions, surprise. Latest Nonfarm payrolls print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to payrolls. [HTTP: GET /v1/econ/payrolls · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.payrolls] ### `econ_series_pce-inflation` (~159 tokens) PCE inflation (BEA, monthly): latest print, revisions, surprise. Latest PCE inflation print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to pce-inflation. [HTTP: GET /v1/econ/pce-inflation · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.pce-inflation] ### `econ_series_retail-sales` (~150 tokens) Advance retail sales (Census, monthly): latest print, revisions, surprise. Latest Advance retail sales print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to retail-sales. [HTTP: GET /v1/econ/retail-sales · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.retail-sales] ### `econ_series_treasury-10y` (~163 tokens) 10-year Treasury yield (Fed, daily): latest print, revisions, surprise. Latest 10-year Treasury yield print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next daily release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to treasury-10y. [HTTP: GET /v1/econ/treasury-10y · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.treasury-10y] ### `econ_series_treasury-2y` (~163 tokens) 2-year Treasury yield (Fed, daily): latest print, revisions, surprise. Latest 2-year Treasury yield print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next daily release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to treasury-2y. [HTTP: GET /v1/econ/treasury-2y · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.treasury-2y] ### `econ_series_unemployment` (~146 tokens) Unemployment rate (BLS, monthly): latest print, revisions, surprise. Latest Unemployment rate print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matching prediction market exists, else trend-model), next monthly release date, and a 12-observation mini-series. Same shape as /v1/econ/:series bound to unemployment. [HTTP: GET /v1/econ/unemployment · price $0.02 via x402 · docs https://x402-factory.com/docs/econ.series.unemployment] ### `edge_backtest` (~128 tokens) Historical performance of the edge signal: hit rate, calibration, by hazard. Aggregates stored edge signals whose markets have resolved: how often the model beat the market (hit rate), average absolute-error improvement (edge captured), a model calibration curve, and per-hazard breakdowns. model_label is explicit about which model produced the signals. [HTTP: GET /v1/edge/backtest · price $0.05 via x402 · docs https://x402-factory.com/docs/edge.backtest] Input parameters: - `min_divergence` (number) - `window` (integer, required) ### `edge_calibration` (~162 tokens) Free: per-class edge-signal calibration (the gate deciding what we sell). Reliability table for every weather market class we compute edge signals on: resolved-signal count, predicted-vs-realized by model-probability decile, and whether the class is on the calibration allowlist that gates paid signal payloads. The allowlist is derived from this data on a schedule — never hand-edited — and computed per model_version: a class earns entry on current-version evidence only, with earlier versions' tables kept visible as labeled history. Free forever so you can judge signal quality before paying for signals. [HTTP: GET /v1/edge/calibration · price free via x402 · docs https://x402-factory.com/docs/edge.calibration] ### `edge_climate-events-probability` (~264 tokens) Weather-event probability: temp at covered stations; precip/wind any US point. Our model's probability that a condition occurs in a future window up to 31 days out, with the method labeled. Temperature events (above/below, window_stat max or min) answer at model-covered stations only — elsewhere they return INVALID_PARAMS rather than an estimate. Precipitation, wind, and named-storm events answer for any US point (NWS-derived). When a listed prediction market covers the same event, it is cross-referenced. [HTTP: GET /v1/climate-events/probability · price $0.05 via x402 · docs https://x402-factory.com/docs/edge.climate-events-probability] Input parameters: - `city` (string): Major US city name as an alternative to lat/lon - `condition` (string, required) - `lat` (number) - `lon` (number) - `threshold` (number): Metric units: °C for temp, mm for precip, kph for wind - `window_end` (string, required) - `window_start` (string, required) - `window_stat` (string, required): Binding statistic for temperature events: max (default) or min; exact semantics in docs ### `edge_detail` (~113 tokens) Deep model-vs-market breakdown for one weather market. Full divergence picture for a single weather market: model probability with the discretized model distribution, divergence history from stored signals, a half-Kelly sizing hint, and explicit risk notes (including model labeling). Find slugs via /v1/edge/weather-markets. [HTTP: GET /v1/edge/:slug · price $0.1 via x402 · docs https://x402-factory.com/docs/edge.detail] Input parameters: - `slug` (string, required) ### `edge_weather-markets` (~188 tokens) Model-vs-market divergence across every parseable weather prediction market. Compares our weather model's event probability with the market-implied probability for every weather-linked prediction market we can parse, ranked by divergence with direction, model confidence (from ensemble spread), and market liquidity. parse_coverage reports how much of the weather catalog is covered. Signals are emitted only for market classes that pass our public calibration gate (free at /v1/edge/calibration). [HTTP: GET /v1/edge/weather-markets · price $0.15 via x402 · docs https://x402-factory.com/docs/edge.weather-markets] Input parameters: - `hazard` (string): Filter signals to one hazard class - `limit` (integer, required) - `min_divergence` (number) - `region` (string): Match against city region (e.g. northeast) or question text ### `edge_weather-markets-delayed` (~229 tokens) Model-vs-market divergence across every parseable weather p… (15m delayed, free). Compares our weather model's event probability with the market-implied probability for every weather-linked prediction market we can parse, ranked by divergence with direction, model confidence (from ensemble spread), and market liquidity. parse_coverage reports how much of the weather catalog is covered. Signals are emitted only for market classes that pass our public calibration gate (free at /v1/edge/calibration). Delayed variant: identical shape to /v1/edge/weather-markets, served at least 15 minutes stale. Use the paid endpoint for realtime data. [HTTP: GET /v1/edge/weather-markets-delayed · price free via x402 · docs https://x402-factory.com/docs/edge.weather-markets-delayed] Input parameters: - `hazard` (string): Filter signals to one hazard class - `limit` (integer, required) - `min_divergence` (number) - `region` (string): Match against city region (e.g. northeast) or question text ### `gov_contracts-awards` (~181 tokens) Federal contract awards from USAspending, normalized and filterable. Recent US federal contract awards (USAspending.gov) as clean records: vendor, awarding agency/sub-agency, value, NAICS, start date, and place of performance. Sorted by value. Filter by vendor, agency, NAICS, minimum value, or date. [HTTP: GET /v1/contracts/awards · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.contracts-awards] Input parameters: - `agency` (string): Substring match on awarding agency - `limit` (integer, required) - `min_value_usd` (number) - `naics` (string) - `since` (string): Awards starting on/after this date - `vendor` (string): Substring match on recipient name ### `gov_contracts-awards_changes` (~133 tokens) Free: count of federal contract awards changed since your cursor. Free polling probe for /v1/contracts/awards/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/contracts/awards/changes · price free via x402 · docs https://x402-factory.com/docs/gov.contracts-awards.changes] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `gov_contracts-awards_delta` (~179 tokens) Only the federal contract awards changed since your cursor (delta of /v1/contrac. Keyset delta of /v1/contracts/awards: pass since= and get only the federal contract awards added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/contracts/awards/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/contracts/awards/delta · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.contracts-awards.delta] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `gov_edgar-13f-diff` (~150 tokens) Quarter-over-quarter 13F position changes for an institutional manager. Parses a fund's 13F-HR information tables and diffs the latest quarter against the prior one: new positions, exits, increases, decreases (with share deltas), and the change in top-10 concentration. CIKs may be zero-padded or not. [HTTP: GET /v1/edgar/13f/:cik/diff · price $0.05 via x402 · docs https://x402-factory.com/docs/gov.edgar-13f-diff] Input parameters: - `cik` (string, required) - `quarter` (string): Defaults to the latest filed quarter ### `gov_edgar-events` (~161 tokens) 8-K corporate events classified by item number with extractive summaries. Material corporate events from SEC 8-K filings, deterministically classified by Item number (5.02 → leadership_change, 2.02 → results, 1.01 → material_agreement, …) with a two-sentence extractive summary and the filing URL. Filter by ticker, event type, or date. [HTTP: GET /v1/edgar/events · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) - `type` (string) ### `gov_edgar-events_acquisitions` (~151 tokens) Latest acquisition and disposition 8-K events as structured JSON. Latest 8-K filings classified as acquisition and disposition (Item 2.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 2.01 events. [HTTP: GET /v1/edgar/events/acquisitions · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.acquisitions] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) ### `gov_edgar-events_bankruptcy` (~151 tokens) Latest bankruptcy and receivership 8-K events as structured JSON. Latest 8-K filings classified as bankruptcy and receivership (Item 1.03) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 1.03 events. [HTTP: GET /v1/edgar/events/bankruptcy · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.bankruptcy] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) ### `gov_edgar-events_changes` (~132 tokens) Free: count of 8-K filings changed since your cursor. Free polling probe for /v1/edgar/events/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/edgar/events/changes · price free via x402 · docs https://x402-factory.com/docs/gov.edgar-events.changes] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `gov_edgar-events_delta` (~180 tokens) Only the 8-K filings changed since your cursor (delta of /v1/edgar/events). Keyset delta of /v1/edgar/events: pass since= and get only the 8-K filings added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/edgar/events/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/edgar/events/delta · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.delta] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `gov_edgar-events_leadership-change` (~158 tokens) Latest executive and board leadership change 8-K events as structured JSON. Latest 8-K filings classified as executive and board leadership change (Item 5.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 5.02 events. [HTTP: GET /v1/edgar/events/leadership-change · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.leadership-change] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) ### `gov_edgar-events_material-agreement` (~151 tokens) Latest material definitive agreement 8-K events as structured JSON. Latest 8-K filings classified as material definitive agreement (Item 1.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 1.01 events. [HTTP: GET /v1/edgar/events/material-agreement · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.material-agreement] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) ### `gov_edgar-events_other-events` (~149 tokens) Latest other material event 8-K events as structured JSON. Latest 8-K filings classified as other material event (Item 8.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 8.01 events. [HTTP: GET /v1/edgar/events/other-events · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.other-events] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) ### `gov_edgar-events_reg-fd` (~151 tokens) Latest Regulation FD disclosure 8-K events as structured JSON. Latest 8-K filings classified as Regulation FD disclosure (Item 7.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 7.01 events. [HTTP: GET /v1/edgar/events/reg-fd · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.reg-fd] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) ### `gov_edgar-events_restatement` (~156 tokens) Latest restatement and non-reliance 8-K events as structured JSON. Latest 8-K filings classified as restatement and non-reliance (Item 4.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 4.02 events. [HTTP: GET /v1/edgar/events/restatement · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.restatement] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) ### `gov_edgar-events_results` (~145 tokens) Latest results of operations 8-K events as structured JSON. Latest 8-K filings classified as results of operations (Item 2.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 2.02 events. [HTTP: GET /v1/edgar/events/results · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.results] Input parameters: - `limit` (integer, required) - `since` (string): Only events filed on/after this date - `ticker` (string) ### `gov_edgar-filings-search` (~189 tokens) Full-text search over SEC filings (EDGAR FTS), normalized results. Proxies SEC EDGAR full-text search (efts.sec.gov) with fair-access rate limiting and returns normalized hits: company, form, filing date, matched document, and archive URL. Upstream provides no text excerpt, so snippets describe the matched document. [HTTP: GET /v1/edgar/filings/search · price $0.03 via x402 · docs https://x402-factory.com/docs/gov.edgar-filings-search] Input parameters: - `date_from` (string) - `date_to` (string) - `form_type` (string): e.g. "8-K", "10-K", "S-1" - `limit` (integer, required) - `q` (string, required): Full-text query; quote phrases for exact match - `ticker` (string) ### `gov_edgar-insider` (~154 tokens) Normalized insider transactions (Form 4) with flow aggregates for a ticker. SEC Form 4 filings parsed into clean insider transactions: buy/sell/award classification, 10b5-1 plan flags, per-filer roles, and aggregate net flow with notable-pattern flags. Use it to gauge insider conviction before events. [HTTP: GET /v1/edgar/insider/:ticker · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-insider] Input parameters: - `days` (integer, required): Lookback window in days - `min_value_usd` (number): Drop transactions below this absolute USD value - `ticker` (string, required) ### `gov_edgar-watch_changes` (~144 tokens) Free: count of filings of the watched form changed since your cursor. Free polling probe for /v1/edgar/watch/:form/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/edgar/watch/:form/changes · price free via x402 · docs https://x402-factory.com/docs/gov.edgar-watch.changes] Input parameters: - `form` (string, required) - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `gov_edgar-watch_delta` (~194 tokens) Only the filings of the watched form changed since your cursor (delta of /v1/edg. Keyset delta of /v1/edgar/watch/:form: pass since= and get only the filings of the watched form added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/edgar/watch/:form/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/edgar/watch/:form/delta · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.edgar-watch.delta] Input parameters: - `form` (string, required) - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `gov_recalls` (~147 tokens) Product recalls across FDA, USDA, and CPSC in one normalized schema. openFDA enforcement reports (food/drug/device), USDA FSIS recalls, and CPSC consumer-product recalls normalized to one shape with a unified severity class (I highest — FDA/USDA classes verbatim; CPSC derived from hazard language). Newest first. [HTTP: GET /v1/recalls · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls] Input parameters: - `category` (string) - `limit` (integer, required) - `q` (string): Match against product, brand, or hazard - `since` (string) ### `gov_recalls_changes` (~126 tokens) Free: count of product recalls changed since your cursor. Free polling probe for /v1/recalls/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/recalls/changes · price free via x402 · docs https://x402-factory.com/docs/gov.recalls.changes] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `gov_recalls_consumer` (~135 tokens) Latest consumer product recalls (FDA/USDA/CPSC normalized). Latest consumer product recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the consumer category. [HTTP: GET /v1/recalls/consumer · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls.consumer] Input parameters: - `limit` (integer, required) - `q` (string): Match against product, brand, or hazard - `since` (string) ### `gov_recalls_delta` (~170 tokens) Only the product recalls changed since your cursor (delta of /v1/recalls). Keyset delta of /v1/recalls: pass since= and get only the product recalls added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/recalls/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/recalls/delta · price $0.005 via x402 · docs https://x402-factory.com/docs/gov.recalls.delta] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `gov_recalls_device` (~133 tokens) Latest medical device recalls (FDA/USDA/CPSC normalized). Latest medical device recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the device category. [HTTP: GET /v1/recalls/device · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls.device] Input parameters: - `limit` (integer, required) - `q` (string): Match against product, brand, or hazard - `since` (string) ### `gov_recalls_drug` (~138 tokens) Latest drug and pharmaceutical recalls (FDA/USDA/CPSC normalized). Latest drug and pharmaceutical recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the drug category. [HTTP: GET /v1/recalls/drug · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls.drug] Input parameters: - `limit` (integer, required) - `q` (string): Match against product, brand, or hazard - `since` (string) ### `gov_recalls_food` (~134 tokens) Latest food safety recalls (FDA/USDA/CPSC normalized). Latest food safety recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the food category. [HTTP: GET /v1/recalls/food · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls.food] Input parameters: - `limit` (integer, required) - `q` (string): Match against product, brand, or hazard - `since` (string) ### `gov_recalls_vehicle` (~132 tokens) Latest vehicle recalls (FDA/USDA/CPSC normalized). Latest vehicle recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the vehicle category. [HTTP: GET /v1/recalls/vehicle · price $0.01 via x402 · docs https://x402-factory.com/docs/gov.recalls.vehicle] Input parameters: - `limit` (integer, required) - `q` (string): Match against product, brand, or hazard - `since` (string) ### `probability_board_changes` (~139 tokens) Free: count of materially-moved markets in the segment changed since your cursor. Free polling probe for /v1/board/:category/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/board/:category/changes · price free via x402 · docs https://x402-factory.com/docs/probability.board.changes] Input parameters: - `category` (string, required) - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `probability_board_climate` (~117 tokens) All active climate and weather markets with live probabilities in one call. One-call board of the most active climate and weather prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of climate and weather at a glance. [HTTP: GET /v1/board/climate · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.climate] Input parameters: - `limit` (integer, required) ### `probability_board_crypto` (~109 tokens) All active crypto markets with live probabilities in one call. One-call board of the most active crypto prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of crypto at a glance. [HTTP: GET /v1/board/crypto · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.crypto] Input parameters: - `limit` (integer, required) ### `probability_board_delta` (~183 tokens) Only the materially-moved markets in the segment changed since your cursor (delt. Keyset delta of /v1/board/:category: pass since= and get only the materially-moved markets in the segment added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/board/:category/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/board/:category/delta · price $0.015 via x402 · docs https://x402-factory.com/docs/probability.board.delta] Input parameters: - `category` (string, required) - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `probability_board_economics` (~114 tokens) All active economics markets with live probabilities in one call. One-call board of the most active economics prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of economics at a glance. [HTTP: GET /v1/board/economics · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.economics] Input parameters: - `limit` (integer, required) ### `probability_board_entertainment` (~115 tokens) All active entertainment markets with live probabilities in one call. One-call board of the most active entertainment prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of entertainment at a glance. [HTTP: GET /v1/board/entertainment · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.entertainment] Input parameters: - `limit` (integer, required) ### `probability_board_fed` (~114 tokens) All active Federal Reserve markets with live probabilities in one call. One-call board of the most active Federal Reserve prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of Federal Reserve at a glance. [HTTP: GET /v1/board/fed · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.fed] Input parameters: - `limit` (integer, required) ### `probability_board_politics-us` (~120 tokens) All active US politics markets with live probabilities in one call. One-call board of the most active US politics prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of US politics at a glance. [HTTP: GET /v1/board/politics-us · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.politics-us] Input parameters: - `limit` (integer, required) ### `probability_board_politics-world` (~120 tokens) All active world politics markets with live probabilities in one call. One-call board of the most active world politics prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of world politics at a glance. [HTTP: GET /v1/board/politics-world · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.politics-world] Input parameters: - `limit` (integer, required) ### `probability_board_science-tech` (~120 tokens) All active science and technology markets with live probabilities in one call. One-call board of the most active science and technology prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of science and technology at a glance. [HTTP: GET /v1/board/science-tech · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.science-tech] Input parameters: - `limit` (integer, required) ### `probability_board_sports-mlb` (~123 tokens) All active MLB baseball markets with live probabilities in one call. One-call board of the most active MLB baseball prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of MLB baseball at a glance. [HTTP: GET /v1/board/sports-mlb · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.sports-mlb] Input parameters: - `limit` (integer, required) ### `probability_board_sports-nba` (~120 tokens) All active NBA basketball markets with live probabilities in one call. One-call board of the most active NBA basketball prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of NBA basketball at a glance. [HTTP: GET /v1/board/sports-nba · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.sports-nba] Input parameters: - `limit` (integer, required) ### `probability_board_sports-nfl` (~120 tokens) All active NFL football markets with live probabilities in one call. One-call board of the most active NFL football prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of NFL football at a glance. [HTTP: GET /v1/board/sports-nfl · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.sports-nfl] Input parameters: - `limit` (integer, required) ### `probability_board_sports-soccer` (~120 tokens) All active soccer markets with live probabilities in one call. One-call board of the most active soccer prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of soccer at a glance. [HTTP: GET /v1/board/sports-soccer · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.board.sports-soccer] Input parameters: - `limit` (integer, required) ### `probability_calendar` (~115 tokens) Upcoming market resolutions in the next N days with current probabilities. Active markets resolving inside the horizon, sorted by resolution date with the current blended probability. An agent's event calendar: what settles soon and where it stands. [HTTP: GET /v1/calendar · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar] Input parameters: - `category` (string) - `days` (integer, required) - `segment` (string): Wave-1 fine taxonomy (12 segments); overrides category ### `probability_calendar_changes` (~124 tokens) Free: count of calendar events added or resolved changed since your cursor. Free polling probe for /v1/calendar/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/calendar/changes · price free via x402 · docs https://x402-factory.com/docs/probability.calendar.changes] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `probability_calendar_climate` (~112 tokens) Upcoming climate and weather event resolutions. Upcoming climate and weather market resolutions in date order with current blended probabilities — the forward calendar of climate and weather events an agent can position around. Same shape as /v1/calendar, pre-filtered to climate and weather markets. [HTTP: GET /v1/calendar/climate · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.climate] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_crypto` (~102 tokens) Upcoming crypto event resolutions. Upcoming crypto market resolutions in date order with current blended probabilities — the forward calendar of crypto events an agent can position around. Same shape as /v1/calendar, pre-filtered to crypto markets. [HTTP: GET /v1/calendar/crypto · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.crypto] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_delta` (~163 tokens) Only the calendar events added or resolved changed since your cursor (delta of /. Keyset delta of /v1/calendar: pass since= and get only the calendar events added or resolved added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/calendar/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/calendar/delta · price $0.005 via x402 · docs https://x402-factory.com/docs/probability.calendar.delta] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `probability_calendar_economics` (~107 tokens) Upcoming economics event resolutions. Upcoming economics market resolutions in date order with current blended probabilities — the forward calendar of economics events an agent can position around. Same shape as /v1/calendar, pre-filtered to economics markets. [HTTP: GET /v1/calendar/economics · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.economics] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_entertainment` (~108 tokens) Upcoming entertainment event resolutions. Upcoming entertainment market resolutions in date order with current blended probabilities — the forward calendar of entertainment events an agent can position around. Same shape as /v1/calendar, pre-filtered to entertainment markets. [HTTP: GET /v1/calendar/entertainment · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.entertainment] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_fed` (~108 tokens) Upcoming Federal Reserve event resolutions. Upcoming Federal Reserve market resolutions in date order with current blended probabilities — the forward calendar of Federal Reserve events an agent can position around. Same shape as /v1/calendar, pre-filtered to Federal Reserve markets. [HTTP: GET /v1/calendar/fed · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.fed] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_politics-us` (~114 tokens) Upcoming US politics event resolutions. Upcoming US politics market resolutions in date order with current blended probabilities — the forward calendar of US politics events an agent can position around. Same shape as /v1/calendar, pre-filtered to US politics markets. [HTTP: GET /v1/calendar/politics-us · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.politics-us] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_politics-world` (~114 tokens) Upcoming world politics event resolutions. Upcoming world politics market resolutions in date order with current blended probabilities — the forward calendar of world politics events an agent can position around. Same shape as /v1/calendar, pre-filtered to world politics markets. [HTTP: GET /v1/calendar/politics-world · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.politics-world] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_science-tech` (~115 tokens) Upcoming science and technology event resolutions. Upcoming science and technology market resolutions in date order with current blended probabilities — the forward calendar of science and technology events an agent can position around. Same shape as /v1/calendar, pre-filtered to science and technology markets. [HTTP: GET /v1/calendar/science-tech · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.science-tech] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_sports-mlb` (~117 tokens) Upcoming MLB baseball event resolutions. Upcoming MLB baseball market resolutions in date order with current blended probabilities — the forward calendar of MLB baseball events an agent can position around. Same shape as /v1/calendar, pre-filtered to MLB baseball markets. [HTTP: GET /v1/calendar/sports-mlb · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.sports-mlb] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_sports-nba` (~114 tokens) Upcoming NBA basketball event resolutions. Upcoming NBA basketball market resolutions in date order with current blended probabilities — the forward calendar of NBA basketball events an agent can position around. Same shape as /v1/calendar, pre-filtered to NBA basketball markets. [HTTP: GET /v1/calendar/sports-nba · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.sports-nba] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_sports-nfl` (~114 tokens) Upcoming NFL football event resolutions. Upcoming NFL football market resolutions in date order with current blended probabilities — the forward calendar of NFL football events an agent can position around. Same shape as /v1/calendar, pre-filtered to NFL football markets. [HTTP: GET /v1/calendar/sports-nfl · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.sports-nfl] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_calendar_sports-soccer` (~113 tokens) Upcoming soccer event resolutions. Upcoming soccer market resolutions in date order with current blended probabilities — the forward calendar of soccer events an agent can position around. Same shape as /v1/calendar, pre-filtered to soccer markets. [HTTP: GET /v1/calendar/sports-soccer · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar.sports-soccer] Input parameters: - `category` (string) - `days` (integer, required) ### `probability_cross-venue-disagreement` (~172 tokens) Where Kalshi and Polymarket disagree on the same event, ranked by gap. Active prediction markets priced on both Kalshi and Polymarket, ranked by how far the two venues disagree on the implied probability — with direction, each venue's liquidity, and, where each venue's own resolved history proves it, which has been better calibrated in that category. Derived analytics; the calibration claim is audited by the free scorecard. [HTTP: GET /v1/cross-venue/disagreement · price $0.05 via x402 · docs https://x402-factory.com/docs/probability.cross-venue-disagreement] Input parameters: - `category` (string): Filter to one category, e.g. politics - `min_gap` (number): Only rows whose venue gap is at least this ### `probability_cross-venue-disagreement-delayed` (~213 tokens) Where Kalshi and Polymarket disagree on the same event, ran… (15m delayed, free). Active prediction markets priced on both Kalshi and Polymarket, ranked by how far the two venues disagree on the implied probability — with direction, each venue's liquidity, and, where each venue's own resolved history proves it, which has been better calibrated in that category. Derived analytics; the calibration claim is audited by the free scorecard. Delayed variant: identical shape to /v1/cross-venue/disagreement, served at least 15 minutes stale. Use the paid endpoint for realtime data. [HTTP: GET /v1/cross-venue/disagreement-delayed · price free via x402 · docs https://x402-factory.com/docs/probability.cross-venue-disagreement-delayed] Input parameters: - `category` (string): Filter to one category, e.g. politics - `min_gap` (number): Only rows whose venue gap is at least this ### `probability_evergreen_atlantic-named-storms-above-normal` (~149 tokens) Live probability: Will Atlantic named storms run above normal this season?. Stable evergreen URL for a recurring question: Will Atlantic named storms run above normal this season? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/atlantic-named-storms-above-normal · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.atlantic-named-storms-above-normal] ### `probability_evergreen_btc-above-100k-eoy` (~145 tokens) Live probability: Will Bitcoin trade above $100k at year end?. Stable evergreen URL for a recurring question: Will Bitcoin trade above $100k at year end? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/btc-above-100k-eoy · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.btc-above-100k-eoy] ### `probability_evergreen_eth-above-5k-eoy` (~143 tokens) Live probability: Will Ethereum trade above $5k at year end?. Stable evergreen URL for a recurring question: Will Ethereum trade above $5k at year end? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/eth-above-5k-eoy · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.eth-above-5k-eoy] ### `probability_evergreen_fed-chair-change-this-year` (~130 tokens) Live probability: Will the Fed chair change this year?. Stable evergreen URL for a recurring question: Will the Fed chair change this year? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/fed-chair-change-this-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.fed-chair-change-this-year] ### `probability_evergreen_fed-next-meeting-cut` (~140 tokens) Live probability: Will the Fed cut rates at its next FOMC meeting?. Stable evergreen URL for a recurring question: Will the Fed cut rates at its next FOMC meeting? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/fed-next-meeting-cut · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.fed-next-meeting-cut] ### `probability_evergreen_fed-next-meeting-hike` (~143 tokens) Live probability: Will the Fed hike rates at its next FOMC meeting?. Stable evergreen URL for a recurring question: Will the Fed hike rates at its next FOMC meeting? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/fed-next-meeting-hike · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.fed-next-meeting-hike] ### `probability_evergreen_government-shutdown-this-quarter` (~135 tokens) Live probability: Will there be a US government shutdown this quarter?. Stable evergreen URL for a recurring question: Will there be a US government shutdown this quarter? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/government-shutdown-this-quarter · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.government-shutdown-this-quarter] ### `probability_evergreen_house-control-next-election` (~127 tokens) Live probability: Who controls the House after the next election?. Stable evergreen URL for a recurring question: Who controls the House after the next election? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/house-control-next-election · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.house-control-next-election] ### `probability_evergreen_major-ai-regulation-federal-law-this-year` (~144 tokens) Live probability: Will major federal AI regulation become law this year?. Stable evergreen URL for a recurring question: Will major federal AI regulation become law this year? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/major-ai-regulation-federal-law-this-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.major-ai-regulation-federal-law-this-year] ### `probability_evergreen_nba-finals-winner` (~125 tokens) Live probability: Who wins the next NBA Finals?. Stable evergreen URL for a recurring question: Who wins the next NBA Finals? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/nba-finals-winner · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.nba-finals-winner] ### `probability_evergreen_next-cpi-above-consensus` (~138 tokens) Live probability: Will the next CPI print come in above consensus?. Stable evergreen URL for a recurring question: Will the next CPI print come in above consensus? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-cpi-above-consensus · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-cpi-above-consensus] ### `probability_evergreen_next-fomc-dot-shift` (~142 tokens) Live probability: Will the next FOMC dot plot shift its median?. Stable evergreen URL for a recurring question: Will the next FOMC dot plot shift its median? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-fomc-dot-shift · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-fomc-dot-shift] ### `probability_evergreen_next-gdp-print-positive` (~130 tokens) Live probability: Will the next US GDP print show growth?. Stable evergreen URL for a recurring question: Will the next US GDP print show growth? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-gdp-print-positive · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-gdp-print-positive] ### `probability_evergreen_next-hurricane-cat3-us-landfall` (~151 tokens) Live probability: Will the next major hurricane (Cat 3+) make US landfall?. Stable evergreen URL for a recurring question: Will the next major hurricane (Cat 3+) make US landfall? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-hurricane-cat3-us-landfall · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-hurricane-cat3-us-landfall] ### `probability_evergreen_next-nfp-above-consensus` (~134 tokens) Live probability: Will the next jobs report beat consensus?. Stable evergreen URL for a recurring question: Will the next jobs report beat consensus? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/next-nfp-above-consensus · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.next-nfp-above-consensus] ### `probability_evergreen_opec-cut-next-meeting` (~136 tokens) Live probability: Will OPEC+ cut production at its next meeting?. Stable evergreen URL for a recurring question: Will OPEC+ cut production at its next meeting? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/opec-cut-next-meeting · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.opec-cut-next-meeting] ### `probability_evergreen_oscars-best-picture` (~128 tokens) Live probability: What wins Best Picture at the next Oscars?. Stable evergreen URL for a recurring question: What wins Best Picture at the next Oscars? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/oscars-best-picture · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.oscars-best-picture] ### `probability_evergreen_presidential-election-winner-party` (~133 tokens) Live probability: Which party wins the next US presidential election?. Stable evergreen URL for a recurring question: Which party wins the next US presidential election? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/presidential-election-winner-party · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.presidential-election-winner-party] ### `probability_evergreen_senate-control-next-election` (~132 tokens) Live probability: Who controls the Senate after the next election?. Stable evergreen URL for a recurring question: Who controls the Senate after the next election? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/senate-control-next-election · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.senate-control-next-election] ### `probability_evergreen_sp500-positive-this-year` (~133 tokens) Live probability: Will the S&P 500 finish the year positive?. Stable evergreen URL for a recurring question: Will the S&P 500 finish the year positive? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/sp500-positive-this-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.sp500-positive-this-year] ### `probability_evergreen_superbowl-winner` (~126 tokens) Live probability: Who wins the next Super Bowl?. Stable evergreen URL for a recurring question: Who wins the next Super Bowl? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/superbowl-winner · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.superbowl-winner] ### `probability_evergreen_time-person-of-the-year` (~127 tokens) Live probability: Who is TIME Person of the Year?. Stable evergreen URL for a recurring question: Who is TIME Person of the Year? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/time-person-of-the-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.time-person-of-the-year] ### `probability_evergreen_us-china-tariff-change-this-quarter` (~139 tokens) Live probability: Will US-China tariffs change this quarter?. Stable evergreen URL for a recurring question: Will US-China tariffs change this quarter? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/us-china-tariff-change-this-quarter · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.us-china-tariff-change-this-quarter] ### `probability_evergreen_us-recession-this-year` (~129 tokens) Live probability: Will the US enter a recession this year?. Stable evergreen URL for a recurring question: Will the US enter a recession this year? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/us-recession-this-year · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.us-recession-this-year] ### `probability_evergreen_world-series-winner` (~122 tokens) Live probability: Who wins the next World Series?. Stable evergreen URL for a recurring question: Who wins the next World Series? Auto-resolves to the current market instance and rolls forward on resolution, so the answer is always about the next occurrence. Response adds current_slug and rolls_to_next_at to the standard probability shape. [HTTP: GET /v1/evergreen/world-series-winner · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.evergreen.world-series-winner] ### `probability_get` (~132 tokens) Blended event probability across Kalshi and Polymarket for one market. Liquidity-weighted blend of venue implied probabilities for a canonical market slug, with per-venue detail, cross-venue divergence, and the last 1h move. Resolved markets return 410 RESOLVED with the outcome. Find slugs via /v1/probability/search. [HTTP: GET /v1/probability/:slug · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.get] Input parameters: - `slug` (string, required) - `venue` (string, required) ### `probability_get-delayed` (~172 tokens) Blended event probability across Kalshi and Polymarket for… (15m delayed, free). Liquidity-weighted blend of venue implied probabilities for a canonical market slug, with per-venue detail, cross-venue divergence, and the last 1h move. Resolved markets return 410 RESOLVED with the outcome. Find slugs via /v1/probability/search. Delayed variant: identical shape to /v1/probability/:slug, served at least 15 minutes stale. Use the paid endpoint for realtime data. [HTTP: GET /v1/probability-delayed/:slug · price free via x402 · docs https://x402-factory.com/docs/probability.get-delayed] Input parameters: - `slug` (string, required) - `venue` (string, required) ### `probability_history` (~132 tokens) Probability time series for a market with key-move detection. Hourly or daily blended probability series (per-venue series included where listed) with volume, plus key_moves: buckets where the blend moved at least 5 points. Useful for charting and for change-point context before paying for realtime reads. [HTTP: GET /v1/history/:slug · price $0.05 via x402 · docs https://x402-factory.com/docs/probability.history] Input parameters: - `from` (string) - `granularity` (string, required) - `slug` (string, required) - `to` (string) ### `probability_liquidity` (~135 tokens) Summarized depth, spread, and 24h volume profile for one market. Execution-quality summary per venue: depth within 1c/5c of the touch, spread in cents, and an hourly 24h volume profile. Pass notional_usd for a slippage estimate. Derived analytics only — raw order books are never mirrored. [HTTP: GET /v1/liquidity/:slug · price $0.03 via x402 · docs https://x402-factory.com/docs/probability.liquidity] Input parameters: - `notional_usd` (number) - `slug` (string, required) ### `probability_movers` (~150 tokens) Markets with the largest probability moves over 1h/6h/24h windows. Active markets ranked by absolute blended-probability change over the chosen window, with volume surge ratios. The fastest way for an agent to find where news is landing. [HTTP: GET /v1/movers · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `segment` (string): Wave-1 fine taxonomy (12 segments); overrides category - `window` (string, required) ### `probability_movers-delayed` (~189 tokens) Markets with the largest probability moves over 1h/6h/24h w… (15m delayed, free). Active markets ranked by absolute blended-probability change over the chosen window, with volume surge ratios. The fastest way for an agent to find where news is landing. Delayed variant: identical shape to /v1/movers, served at least 15 minutes stale. Use the paid endpoint for realtime data. [HTTP: GET /v1/movers-delayed · price free via x402 · docs https://x402-factory.com/docs/probability.movers-delayed] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `segment` (string): Wave-1 fine taxonomy (12 segments); overrides category - `window` (string, required) ### `probability_movers_changes` (~127 tokens) Free: count of materially-moved markets changed since your cursor. Free polling probe for /v1/movers/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/movers/changes · price free via x402 · docs https://x402-factory.com/docs/probability.movers.changes] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `probability_movers_climate` (~152 tokens) Biggest climate and weather probability moves (1h/6h/24h). The fastest way to see where news is landing in climate and weather: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to climate and weather markets. [HTTP: GET /v1/movers/climate · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.climate] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_crypto` (~144 tokens) Biggest crypto probability moves (1h/6h/24h). The fastest way to see where news is landing in crypto: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to crypto markets. [HTTP: GET /v1/movers/crypto · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.crypto] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_delta` (~171 tokens) Only the materially-moved markets changed since your cursor (delta of /v1/movers. Keyset delta of /v1/movers: pass since= and get only the materially-moved markets added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restarts. Poll the free sibling /v1/movers/changes for counts and pay only when there is something to fetch. [HTTP: GET /v1/movers/delta · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.movers.delta] Input parameters: - `since` (string): Opaque cursor from a previous next_cursor; omit once to bootstrap a cursor at now ### `probability_movers_economics` (~149 tokens) Biggest economics probability moves (1h/6h/24h). The fastest way to see where news is landing in economics: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to economics markets. [HTTP: GET /v1/movers/economics · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.economics] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_entertainment` (~150 tokens) Biggest entertainment probability moves (1h/6h/24h). The fastest way to see where news is landing in entertainment: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to entertainment markets. [HTTP: GET /v1/movers/entertainment · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.entertainment] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_fed` (~149 tokens) Biggest Federal Reserve probability moves (1h/6h/24h). The fastest way to see where news is landing in Federal Reserve: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to Federal Reserve markets. [HTTP: GET /v1/movers/fed · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.fed] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_politics-us` (~155 tokens) Biggest US politics probability moves (1h/6h/24h). The fastest way to see where news is landing in US politics: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to US politics markets. [HTTP: GET /v1/movers/politics-us · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.politics-us] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_politics-world` (~155 tokens) Biggest world politics probability moves (1h/6h/24h). The fastest way to see where news is landing in world politics: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to world politics markets. [HTTP: GET /v1/movers/politics-world · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.politics-world] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_science-tech` (~155 tokens) Biggest science and technology probability moves (1h/6h/24h). The fastest way to see where news is landing in science and technology: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to science and technology markets. [HTTP: GET /v1/movers/science-tech · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.science-tech] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_sports-mlb` (~158 tokens) Biggest MLB baseball probability moves (1h/6h/24h). The fastest way to see where news is landing in MLB baseball: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to MLB baseball markets. [HTTP: GET /v1/movers/sports-mlb · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.sports-mlb] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_sports-nba` (~155 tokens) Biggest NBA basketball probability moves (1h/6h/24h). The fastest way to see where news is landing in NBA basketball: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to NBA basketball markets. [HTTP: GET /v1/movers/sports-nba · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.sports-nba] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_sports-nfl` (~155 tokens) Biggest NFL football probability moves (1h/6h/24h). The fastest way to see where news is landing in NFL football: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to NFL football markets. [HTTP: GET /v1/movers/sports-nfl · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.sports-nfl] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_movers_sports-soccer` (~155 tokens) Biggest soccer probability moves (1h/6h/24h). The fastest way to see where news is landing in soccer: active markets ranked by absolute probability change over your chosen window, with volume surge ratios. Same shape as /v1/movers, pre-filtered to soccer markets. [HTTP: GET /v1/movers/sports-soccer · price $0.04 via x402 · docs https://x402-factory.com/docs/probability.movers.sports-soccer] Input parameters: - `category` (string) - `limit` (integer, required) - `min_liquidity` (number): Minimum liquidity_score (0–1) - `window` (string, required) ### `probability_odds-compare` (~123 tokens) Per-venue implied vs vig-adjusted odds with summarized depth for one market. Venue-by-venue comparison for a market: implied probability, vig-adjusted probability (overround removed via the quoted book), summarized depth near the touch, plus the cross-venue spread and a disagreement flag when it exceeds 5 points. [HTTP: GET /v1/odds/compare/:slug · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.odds-compare] Input parameters: - `slug` (string, required) ### `probability_resolution` (~102 tokens) Final outcome and settlement details for a resolved market. Outcome, per-venue settlement, source link where available, and the blended probability 24h before resolution (calibration signal). Unresolved markets return 404 with a pointer to the live probability endpoint. [HTTP: GET /v1/resolution/:slug · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.resolution] Input parameters: - `slug` (string, required) ### `probability_search` (~123 tokens) Find prediction markets by free-text query; returns slugs for other endpoints. Full-text search over the canonical market catalog (Postgres FTS + trigram in live mode). Returns slugs, blended probabilities, and match confidence. Empty result sets return 200 with a suggestion listing valid categories. [HTTP: GET /v1/probability/search · price $0.02 via x402 · docs https://x402-factory.com/docs/probability.search] Input parameters: - `category` (string) - `limit` (integer, required) - `q` (string, required) ### `probability_venue-calibration` (~181 tokens) Free: how well prediction-market prices forecast outcomes, per venue. Calibration scorecard for prediction-market venues from resolved markets: the venue's implied probability at fixed horizons before resolution (24h, 7d, 30d) scored against what actually happened — Brier score, base rate, sharpness, and sample counts per venue × category × horizon, with reliability deciles once a cell reaches n ≥ 200. Horizon prices are captured before resolution (never resolution-day prices) and accrue durably. Derived analytics only; free so you can judge market prices before paying for anything built on them. [HTTP: GET /v1/calibration/venues · price free via x402 · docs https://x402-factory.com/docs/probability.venue-calibration] Input parameters: - `category` (string) - `venue` (string) ### `probability_venue-calibration-detail` (~166 tokens) Audit rows behind a venue-calibration cell: horizon prices and outcomes. The audit rows behind the free venue-calibration scorecard for one venue and category: each resolved market with its pre-resolution implied probability at every captured horizon (24h, 7d, 30d), its outcome, and resolution time — recompute any cell yourself. The free scorecard shows which cells have depth before you pay. [HTTP: GET /v1/calibration/venues/:venue/:category · price $0.03 via x402 · docs https://x402-factory.com/docs/probability.venue-calibration-detail] Input parameters: - `category` (string, required): e.g. politics, economics, sports - `limit` (integer, required) - `venue` (string, required) ### `weather_alerts-severe` (~151 tokens) Active NWS alerts for a point or state, plus model-forward hazard risk. Official National Weather Service active alerts (public domain, attributed) for a lat/lon or two-letter state, combined with our model's forward 48h hazard probabilities (extreme heat, heavy rain, damaging wind). Pass lat+lon or state. [HTTP: GET /v1/alerts/severe · price $0.01 via x402 · docs https://x402-factory.com/docs/weather.alerts-severe] Input parameters: - `hazard` (string): Filter alerts and model risk to one hazard class - `lat` (number) - `lon` (number) - `state` (string) ### `weather_alerts_fire-weather` (~119 tokens) Active and forecast fire weather risk (NWS + model). Active NWS alerts filtered to fire weather hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to fire weather. [HTTP: GET /v1/alerts/fire-weather · price $0.01 via x402 · docs https://x402-factory.com/docs/weather.alerts.fire-weather] Input parameters: - `lat` (number) - `lon` (number) - `state` (string) ### `weather_alerts_flood` (~116 tokens) Active and forecast flood risk (NWS + model). Active NWS alerts filtered to flood hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to flood. [HTTP: GET /v1/alerts/flood · price $0.01 via x402 · docs https://x402-factory.com/docs/weather.alerts.flood] Input parameters: - `lat` (number) - `lon` (number) - `state` (string) ### `weather_alerts_heat` (~118 tokens) Active and forecast extreme heat risk (NWS + model). Active NWS alerts filtered to extreme heat hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to extreme heat. [HTTP: GET /v1/alerts/heat · price $0.01 via x402 · docs https://x402-factory.com/docs/weather.alerts.heat] Input parameters: - `lat` (number) - `lon` (number) - `state` (string) ### `weather_alerts_hurricane` (~125 tokens) Active and forecast hurricane and tropical storm risk (NWS + model). Active NWS alerts filtered to hurricane and tropical storm hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to hurricane and tropical storm. [HTTP: GET /v1/alerts/hurricane · price $0.01 via x402 · docs https://x402-factory.com/docs/weather.alerts.hurricane] Input parameters: - `lat` (number) - `lon` (number) - `state` (string) ### `weather_alerts_tornado` (~116 tokens) Active and forecast tornado risk (NWS + model). Active NWS alerts filtered to tornado hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to tornado. [HTTP: GET /v1/alerts/tornado · price $0.01 via x402 · docs https://x402-factory.com/docs/weather.alerts.tornado] Input parameters: - `lat` (number) - `lon` (number) - `state` (string) ### `weather_alerts_winter` (~119 tokens) Active and forecast winter storm risk (NWS + model). Active NWS alerts filtered to winter storm hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to winter storm. [HTTP: GET /v1/alerts/winter · price $0.01 via x402 · docs https://x402-factory.com/docs/weather.alerts.winter] Input parameters: - `lat` (number) - `lon` (number) - `state` (string) ### `weather_aviation-delay-risk` (~125 tokens) Weather-driven delay risk for a US airport in 6-hour blocks. Next-24h delay risk for a top-100 US airport, scored per 6-hour block from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover, with the drivers named and a one-line verdict. [HTTP: GET /v1/aviation/delay-risk/:iata · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation-delay-risk] Input parameters: - `iata` (string, required) ### `weather_aviation_atl` (~126 tokens) ATL weather delay risk for the next 48 hours. Weather-driven delay risk for Atlanta Hartsfield-Jackson (ATL) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to ATL. [HTTP: GET /v1/aviation/delay-risk/ATL · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.atl] ### `weather_aviation_bos` (~123 tokens) BOS weather delay risk for the next 48 hours. Weather-driven delay risk for Boston Logan (BOS) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to BOS. [HTTP: GET /v1/aviation/delay-risk/BOS · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.bos] ### `weather_aviation_clt` (~126 tokens) CLT weather delay risk for the next 48 hours. Weather-driven delay risk for Charlotte Douglas (CLT) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to CLT. [HTTP: GET /v1/aviation/delay-risk/CLT · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.clt] ### `weather_aviation_den` (~120 tokens) DEN weather delay risk for the next 48 hours. Weather-driven delay risk for Denver International (DEN) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to DEN. [HTTP: GET /v1/aviation/delay-risk/DEN · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.den] ### `weather_aviation_dfw` (~128 tokens) DFW weather delay risk for the next 48 hours. Weather-driven delay risk for Dallas/Fort Worth (DFW) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to DFW. [HTTP: GET /v1/aviation/delay-risk/DFW · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.dfw] ### `weather_aviation_dtw` (~126 tokens) DTW weather delay risk for the next 48 hours. Weather-driven delay risk for Detroit Metro (DTW) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to DTW. [HTTP: GET /v1/aviation/delay-risk/DTW · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.dtw] ### `weather_aviation_ewr` (~127 tokens) EWR weather delay risk for the next 48 hours. Weather-driven delay risk for Newark Liberty (EWR) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to EWR. [HTTP: GET /v1/aviation/delay-risk/EWR · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.ewr] ### `weather_aviation_fll` (~127 tokens) FLL weather delay risk for the next 48 hours. Weather-driven delay risk for Fort Lauderdale-Hollywood (FLL) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to FLL. [HTTP: GET /v1/aviation/delay-risk/FLL · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.fll] ### `weather_aviation_iah` (~126 tokens) IAH weather delay risk for the next 48 hours. Weather-driven delay risk for Houston Bush (IAH) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to IAH. [HTTP: GET /v1/aviation/delay-risk/IAH · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.iah] ### `weather_aviation_jfk` (~124 tokens) JFK weather delay risk for the next 48 hours. Weather-driven delay risk for New York JFK (JFK) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to JFK. [HTTP: GET /v1/aviation/delay-risk/JFK · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.jfk] ### `weather_aviation_las` (~124 tokens) LAS weather delay risk for the next 48 hours. Weather-driven delay risk for Las Vegas Harry Reid (LAS) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to LAS. [HTTP: GET /v1/aviation/delay-risk/LAS · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.las] ### `weather_aviation_lax` (~126 tokens) LAX weather delay risk for the next 48 hours. Weather-driven delay risk for Los Angeles International (LAX) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to LAX. [HTTP: GET /v1/aviation/delay-risk/LAX · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.lax] ### `weather_aviation_lga` (~128 tokens) LGA weather delay risk for the next 48 hours. Weather-driven delay risk for New York LaGuardia (LGA) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to LGA. [HTTP: GET /v1/aviation/delay-risk/LGA · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.lga] ### `weather_aviation_mco` (~125 tokens) MCO weather delay risk for the next 48 hours. Weather-driven delay risk for Orlando International (MCO) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to MCO. [HTTP: GET /v1/aviation/delay-risk/MCO · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.mco] ### `weather_aviation_mia` (~125 tokens) MIA weather delay risk for the next 48 hours. Weather-driven delay risk for Miami International (MIA) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to MIA. [HTTP: GET /v1/aviation/delay-risk/MIA · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.mia] ### `weather_aviation_msp` (~125 tokens) MSP weather delay risk for the next 48 hours. Weather-driven delay risk for Minneapolis-St. Paul (MSP) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to MSP. [HTTP: GET /v1/aviation/delay-risk/MSP · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.msp] ### `weather_aviation_ord` (~123 tokens) ORD weather delay risk for the next 48 hours. Weather-driven delay risk for Chicago O'Hare (ORD) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to ORD. [HTTP: GET /v1/aviation/delay-risk/ORD · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.ord] ### `weather_aviation_phx` (~127 tokens) PHX weather delay risk for the next 48 hours. Weather-driven delay risk for Phoenix Sky Harbor (PHX) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to PHX. [HTTP: GET /v1/aviation/delay-risk/PHX · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.phx] ### `weather_aviation_sea` (~124 tokens) SEA weather delay risk for the next 48 hours. Weather-driven delay risk for Seattle-Tacoma (SEA) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to SEA. [HTTP: GET /v1/aviation/delay-risk/SEA · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.sea] ### `weather_aviation_sfo` (~126 tokens) SFO weather delay risk for the next 48 hours. Weather-driven delay risk for San Francisco International (SFO) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to SFO. [HTTP: GET /v1/aviation/delay-risk/SFO · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.sfo] ### `weather_energy-region` (~132 tokens) Degree-days, load signal, and renewables indexes for a US ISO region. Daily heating/cooling degree-days (°F-days), a normalized peak-load signal, and solar/wind generation indexes computed from load-weighted city forecasts for CAISO, ERCOT, PJM, MISO, SPP, NYISO, or ISONE, with extreme-risk flags. [HTTP: GET /v1/energy/:region · price $0.05 via x402 · docs https://x402-factory.com/docs/weather.energy-region] Input parameters: - `days` (integer, required) - `region` (string, required) ### `weather_forecast-point` (~173 tokens) Hourly point forecast for any coordinate, up to 168 hours. Hourly temperature, feels-like, precipitation probability/amount, wind, gusts, humidity, and cloud cover for an exact lat/lon: NWS-derived series, bias-blended with our calibrated station model where covered. Imperial by default (units=metric available). Requests beyond 168 hours are capped at the model's current horizon. Longer horizons cost more. [HTTP: GET /v1/forecast/point · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast-point] Input parameters: - `hours` (integer, required) - `lat` (number, required) - `lon` (number, required) - `units` (string, required) ### `weather_forecast-probabilistic` (~178 tokens) Percentile bands (p10–p90) for temp, precip, or wind. Hourly p10/p25/p50/p75/p90 bands for one variable at a coordinate. Temperature bands come from the model's empirical calibration; precipitation and wind bands are NWS-derived approximations, disclosed in the response's method label. Metric units (°C, mm, kph). Horizons cap at 168h. Use it to reason about uncertainty, not just point values. [HTTP: GET /v1/forecast/probabilistic · price $0.03 via x402 · docs https://x402-factory.com/docs/weather.forecast-probabilistic] Input parameters: - `hours` (integer, required) - `lat` (number, required) - `lon` (number, required) - `variable` (string, required) ### `weather_forecast-window` (~181 tokens) One-call answer for a specific time window: rain odds, temps, comfort, verdict. Summarizes a ≤12-hour window at a coordinate into decision-ready numbers (rain probability, expected precip, temp range in °C, max gust, comfort index) plus a one-sentence plain-English verdict. Built for agents planning events, deliveries, and travel. [HTTP: GET /v1/forecast/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `lat` (number, required) - `lon` (number, required) - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_atlanta` (~169 tokens) Will it rain in Atlanta during your event window. Event-window weather odds for Atlanta: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Atlanta coordinates built in. [HTTP: GET /v1/forecast/atlanta/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.atlanta] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_austin` (~166 tokens) Will it rain in Austin during your event window. Event-window weather odds for Austin: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Austin coordinates built in. [HTTP: GET /v1/forecast/austin/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.austin] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_boston` (~166 tokens) Will it rain in Boston during your event window. Event-window weather odds for Boston: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Boston coordinates built in. [HTTP: GET /v1/forecast/boston/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.boston] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_charlotte` (~167 tokens) Will it rain in Charlotte during your event window. Event-window weather odds for Charlotte: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Charlotte coordinates built in. [HTTP: GET /v1/forecast/charlotte/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.charlotte] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_chicago` (~166 tokens) Will it rain in Chicago during your event window. Event-window weather odds for Chicago: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Chicago coordinates built in. [HTTP: GET /v1/forecast/chicago/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.chicago] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_dallas` (~166 tokens) Will it rain in Dallas during your event window. Event-window weather odds for Dallas: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Dallas coordinates built in. [HTTP: GET /v1/forecast/dallas/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.dallas] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_denver` (~167 tokens) Will it rain in Denver during your event window. Event-window weather odds for Denver: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Denver coordinates built in. [HTTP: GET /v1/forecast/denver/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.denver] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_detroit` (~167 tokens) Will it rain in Detroit during your event window. Event-window weather odds for Detroit: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Detroit coordinates built in. [HTTP: GET /v1/forecast/detroit/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.detroit] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_houston` (~169 tokens) Will it rain in Houston during your event window. Event-window weather odds for Houston: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Houston coordinates built in. [HTTP: GET /v1/forecast/houston/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.houston] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_jacksonville` (~168 tokens) Will it rain in Jacksonville during your event window. Event-window weather odds for Jacksonville: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Jacksonville coordinates built in. [HTTP: GET /v1/forecast/jacksonville/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.jacksonville] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_las-vegas` (~175 tokens) Will it rain in Las Vegas during your event window. Event-window weather odds for Las Vegas: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Las Vegas coordinates built in. [HTTP: GET /v1/forecast/las-vegas/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.las-vegas] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_los-angeles` (~175 tokens) Will it rain in Los Angeles during your event window. Event-window weather odds for Los Angeles: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Los Angeles coordinates built in. [HTTP: GET /v1/forecast/los-angeles/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.los-angeles] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_miami` (~168 tokens) Will it rain in Miami during your event window. Event-window weather odds for Miami: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Miami coordinates built in. [HTTP: GET /v1/forecast/miami/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.miami] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_minneapolis` (~166 tokens) Will it rain in Minneapolis during your event window. Event-window weather odds for Minneapolis: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Minneapolis coordinates built in. [HTTP: GET /v1/forecast/minneapolis/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.minneapolis] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_nashville` (~169 tokens) Will it rain in Nashville during your event window. Event-window weather odds for Nashville: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Nashville coordinates built in. [HTTP: GET /v1/forecast/nashville/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.nashville] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_nyc` (~173 tokens) Will it rain in New York City during your event window. Event-window weather odds for New York City: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the New York City coordinates built in. [HTTP: GET /v1/forecast/nyc/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.nyc] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_philadelphia` (~169 tokens) Will it rain in Philadelphia during your event window. Event-window weather odds for Philadelphia: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Philadelphia coordinates built in. [HTTP: GET /v1/forecast/philadelphia/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.philadelphia] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_phoenix` (~169 tokens) Will it rain in Phoenix during your event window. Event-window weather odds for Phoenix: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Phoenix coordinates built in. [HTTP: GET /v1/forecast/phoenix/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.phoenix] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_portland` (~167 tokens) Will it rain in Portland during your event window. Event-window weather odds for Portland: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Portland coordinates built in. [HTTP: GET /v1/forecast/portland/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.portland] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_san-antonio` (~178 tokens) Will it rain in San Antonio during your event window. Event-window weather odds for San Antonio: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the San Antonio coordinates built in. [HTTP: GET /v1/forecast/san-antonio/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.san-antonio] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_san-diego` (~175 tokens) Will it rain in San Diego during your event window. Event-window weather odds for San Diego: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the San Diego coordinates built in. [HTTP: GET /v1/forecast/san-diego/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.san-diego] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_san-francisco` (~178 tokens) Will it rain in San Francisco during your event window. Event-window weather odds for San Francisco: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the San Francisco coordinates built in. [HTTP: GET /v1/forecast/san-francisco/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.san-francisco] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_san-jose` (~175 tokens) Will it rain in San Jose during your event window. Event-window weather odds for San Jose: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the San Jose coordinates built in. [HTTP: GET /v1/forecast/san-jose/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.san-jose] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_seattle` (~166 tokens) Will it rain in Seattle during your event window. Event-window weather odds for Seattle: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Seattle coordinates built in. [HTTP: GET /v1/forecast/seattle/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.seattle] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast-window_washington-dc` (~181 tokens) Will it rain in Washington, DC during your event window. Event-window weather odds for Washington, DC: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Washington, DC coordinates built in. [HTTP: GET /v1/forecast/washington-dc/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.washington-dc] Input parameters: - `end` (string): Window end (ISO-8601), ≤12h after start. Default: start + 6h. - `start` (string): Window start (ISO-8601). Default: the top of the next hour. ### `weather_forecast_atlanta` (~153 tokens) Hourly Atlanta weather forecast (blend model, method labeled). Hourly weather forecast for Atlanta: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Atlanta coordinates built in. [HTTP: GET /v1/forecast/atlanta · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.atlanta] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_austin` (~150 tokens) Hourly Austin weather forecast (blend model, method labeled). Hourly weather forecast for Austin: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Austin coordinates built in. [HTTP: GET /v1/forecast/austin · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.austin] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_boston` (~150 tokens) Hourly Boston weather forecast (blend model, method labeled). Hourly weather forecast for Boston: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Boston coordinates built in. [HTTP: GET /v1/forecast/boston · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.boston] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_charlotte` (~151 tokens) Hourly Charlotte weather forecast (blend model, method labeled). Hourly weather forecast for Charlotte: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Charlotte coordinates built in. [HTTP: GET /v1/forecast/charlotte · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.charlotte] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_chicago` (~150 tokens) Hourly Chicago weather forecast (blend model, method labeled). Hourly weather forecast for Chicago: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Chicago coordinates built in. [HTTP: GET /v1/forecast/chicago · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.chicago] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_dallas` (~150 tokens) Hourly Dallas weather forecast (blend model, method labeled). Hourly weather forecast for Dallas: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Dallas coordinates built in. [HTTP: GET /v1/forecast/dallas · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.dallas] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_denver` (~151 tokens) Hourly Denver weather forecast (blend model, method labeled). Hourly weather forecast for Denver: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Denver coordinates built in. [HTTP: GET /v1/forecast/denver · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.denver] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_detroit` (~151 tokens) Hourly Detroit weather forecast (blend model, method labeled). Hourly weather forecast for Detroit: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Detroit coordinates built in. [HTTP: GET /v1/forecast/detroit · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.detroit] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_houston` (~153 tokens) Hourly Houston weather forecast (blend model, method labeled). Hourly weather forecast for Houston: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Houston coordinates built in. [HTTP: GET /v1/forecast/houston · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.houston] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_jacksonville` (~152 tokens) Hourly Jacksonville weather forecast (blend model, method labeled). Hourly weather forecast for Jacksonville: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Jacksonville coordinates built in. [HTTP: GET /v1/forecast/jacksonville · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.jacksonville] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_las-vegas` (~159 tokens) Hourly Las Vegas weather forecast (blend model, method labeled). Hourly weather forecast for Las Vegas: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Las Vegas coordinates built in. [HTTP: GET /v1/forecast/las-vegas · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.las-vegas] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_los-angeles` (~159 tokens) Hourly Los Angeles weather forecast (blend model, method labeled). Hourly weather forecast for Los Angeles: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Los Angeles coordinates built in. [HTTP: GET /v1/forecast/los-angeles · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.los-angeles] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_miami` (~152 tokens) Hourly Miami weather forecast (blend model, method labeled). Hourly weather forecast for Miami: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Miami coordinates built in. [HTTP: GET /v1/forecast/miami · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.miami] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_minneapolis` (~150 tokens) Hourly Minneapolis weather forecast (blend model, method labeled). Hourly weather forecast for Minneapolis: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Minneapolis coordinates built in. [HTTP: GET /v1/forecast/minneapolis · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.minneapolis] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_nashville` (~153 tokens) Hourly Nashville weather forecast (blend model, method labeled). Hourly weather forecast for Nashville: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Nashville coordinates built in. [HTTP: GET /v1/forecast/nashville · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.nashville] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_nyc` (~157 tokens) Hourly New York City weather forecast (blend model, method labeled). Hourly weather forecast for New York City: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the New York City coordinates built in. [HTTP: GET /v1/forecast/nyc · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.nyc] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_philadelphia` (~153 tokens) Hourly Philadelphia weather forecast (blend model, method labeled). Hourly weather forecast for Philadelphia: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Philadelphia coordinates built in. [HTTP: GET /v1/forecast/philadelphia · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.philadelphia] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_phoenix` (~153 tokens) Hourly Phoenix weather forecast (blend model, method labeled). Hourly weather forecast for Phoenix: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Phoenix coordinates built in. [HTTP: GET /v1/forecast/phoenix · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.phoenix] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_portland` (~151 tokens) Hourly Portland weather forecast (blend model, method labeled). Hourly weather forecast for Portland: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Portland coordinates built in. [HTTP: GET /v1/forecast/portland · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.portland] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_san-antonio` (~162 tokens) Hourly San Antonio weather forecast (blend model, method labeled). Hourly weather forecast for San Antonio: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Antonio coordinates built in. [HTTP: GET /v1/forecast/san-antonio · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.san-antonio] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_san-diego` (~159 tokens) Hourly San Diego weather forecast (blend model, method labeled). Hourly weather forecast for San Diego: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Diego coordinates built in. [HTTP: GET /v1/forecast/san-diego · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.san-diego] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_san-francisco` (~162 tokens) Hourly San Francisco weather forecast (blend model, method labeled). Hourly weather forecast for San Francisco: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Francisco coordinates built in. [HTTP: GET /v1/forecast/san-francisco · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.san-francisco] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_san-jose` (~159 tokens) Hourly San Jose weather forecast (blend model, method labeled). Hourly weather forecast for San Jose: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Jose coordinates built in. [HTTP: GET /v1/forecast/san-jose · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.san-jose] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_seattle` (~150 tokens) Hourly Seattle weather forecast (blend model, method labeled). Hourly weather forecast for Seattle: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Seattle coordinates built in. [HTTP: GET /v1/forecast/seattle · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.seattle] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_forecast_washington-dc` (~165 tokens) Hourly Washington, DC weather forecast (blend model, method labeled). Hourly weather forecast for Washington, DC: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Washington, DC coordinates built in. [HTTP: GET /v1/forecast/washington-dc · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.washington-dc] Input parameters: - `hours` (integer, required) - `units` (string, required) ### `weather_verification-scores` (~171 tokens) Free: our forecast verification stats (MAE by variable, region, lead, segment). Transparent skill scores from stored forecast/actual pairs over a rolling 90-day window, scored against real NWS station observations and segmented by what produced each forecast (proprietary-blend temperature at covered stations vs NWS passthrough). Live-accumulated pairs are reported separately from the model's offline historical_oos fit metrics — the two are never mixed. Free forever so you can judge the model before paying for forecasts. [HTTP: GET /v1/verification/scores · price free via x402 · docs https://x402-factory.com/docs/weather.verification-scores] Input parameters: - `lead_hours` (integer) - `region` (string) - `variable` (string) ### `weather_verification-station` (~167 tokens) One station's forecast-verification history: daily MAE/bias by lead and method. Single-station audit view of our forecast verification: daily MAE, signed bias, raw-NWS baseline, and sample counts for every lead time and method segment at one ICAO station, over a selectable window up to 90 days. Scored against that station's real NWS observations; model versions reported separately, never mixed. [HTTP: GET /v1/verification/station/:station · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.verification-station] Input parameters: - `days` (integer, required) - `lead_hours` (integer) - `station` (string, required): ICAO observation station, e.g. KNYC ### `weather_verification-table` (~199 tokens) Full verification table: daily MAE/bias per station, lead, method, version. The audit table behind our free verification summary: every scored forecast/actual pair, aggregated at daily granularity per station × lead × method segment × model version, over a selectable window up to 90 days. Each cell carries our MAE, signed bias, the raw-NWS baseline MAE on the same rows where our forecast can differ from NWS, and sample counts. Scored against real NWS station observations; versions are never mixed. [HTTP: GET /v1/verification/table · price $0.03 via x402 · docs https://x402-factory.com/docs/weather.verification-table] Input parameters: - `days` (integer, required): Rolling window length in days - `lead_hours` (integer) - `segment` (string) - `station` (string): Filter to one ICAO station, e.g. KNYC ## Diagnostics Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/praneeth12098-x402-factory/x402-factory#diagnostics ## Score history - 2026-11-05: 68 - 2026-11-04: 67 - 2026-11-03: 67 - 2026-11-02: 66 - 2026-11-01: 66 - 2026-10-31: 66 - 2026-10-30: 65 - 2026-10-29: 65 - 2026-10-28: 64 - 2026-10-27: 64 - 2026-10-26: 63 - 2026-10-25: 63 - 2026-10-24: 62 - 2026-10-23: 62 - 2026-10-22: 61 - 2026-10-21: 61 - 2026-10-20: 60 - 2026-10-19: 60 - 2026-10-18: 59 - 2026-10-17: 59 ## Common questions ### What is the io.github.praneeth12098/x402-factory MCP server? io.github.praneeth12098/x402-factory is an MCP server listed in the public MCP registry as io.github.praneeth12098/x402-factory. 200+ x402 paid data APIs for AI agents: prediction markets, verified weather, econ, SEC filings. This page covers its hosted endpoint (https://x402-factory.com/mcp). ### Is the io.github.praneeth12098/x402-factory MCP server safe to use? io.github.praneeth12098/x402-factory scores 68 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm. ### What tools does the io.github.praneeth12098/x402-factory MCP server expose? io.github.praneeth12098/x402-factory exposes 219 tools: core_ping, econ_calendar, econ_dashboard, econ_dashboard_changes, econ_dashboard_delta, and 214 more. Their descriptions and schemas cost roughly 31,891 tokens of context every time the server is loaded. ### Does the io.github.praneeth12098/x402-factory MCP server require authentication? No. We connected to io.github.praneeth12098/x402-factory without credentials and it answered, so anything it exposes is reachable by anyone who knows the address. ### Is the io.github.praneeth12098/x402-factory MCP server still maintained? io.github.praneeth12098/x402-factory is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced. ## Links - Remote endpoint: https://x402-factory.com/mcp - Repository: https://github.com/praneeth12098/x402-factory-clients - Changelog RSS feed: https://verifymcp.io/servers/praneeth12098-x402-factory/x402-factory.xml - Changelog JSON feed: https://verifymcp.io/servers/praneeth12098-x402-factory/x402-factory.json - HTML version of this page: https://verifymcp.io/servers/praneeth12098-x402-factory/x402-factory