io.github.praneeth12098/x402-factory
REMOTE · X402-FACTORY.COM
200+ x402 paid data APIs for AI agents: prediction markets, verified weather, econ, SEC filings
Available components
Last scanned (13 hours ago)
Scores higher than 53% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Data and Analytics
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. How we score → Why this is hard to score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- 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. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability64
- AI-judged instruction clarity (good).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management63
- Stability observed for 19 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage78
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 34% of tool parameters carry a description.Partial
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 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. See how to fix → Fail
- An AI judge read all 219 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Checks we ran (12)
- TLS certificate
- HTTPS
- HSTS header
- DNSSEC
- Transport
- Schema quality
- Stability
- Tool coverage
- Injection markers
- Destructive annotations
- Judged manipulation
- MCP protocol
Checks we could not complete (1)
These are gaps on our side, not findings about this hosted endpoint. We only credit what we can confirm, so a category made up entirely of them scores 0.
- Authorization in Endpoint SecurityAuthorisation 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.
Does not apply to this hosted endpoint (2)
- Supply Chain SecurityScored on package channels only. This is a hosted endpoint, so there is nothing to install or inspect.
- Provenance & TransparencyScored on package channels only. This is a hosted endpoint, so there is nothing to install or inspect.
The score does not measure everything. What the score does not measure →
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +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.
- 3 Nov 26 +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.
- 31 Oct 26 +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.
- 29 Oct 26 +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.
- 27 Oct 26 +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.
- 25 Oct 26 +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.
- 23 Oct 26 +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.
- 21 Oct 26 +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.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://x402-factory.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=x402-factory.com | CN=GeoTrust TLS RSA CA G1,OU=www.digicert.com,O=DigiCert Inc,C=US | 19 Jul 2026 | 19 Jan 2027 | RSA 2048 | SHA256-RSA | 3308170fe02c4846c4f1c5583c0a5f6 |
| SANs: x402-factory.com | ||||||
| CN=GeoTrust TLS RSA CA G1,OU=www.digicert.com,O=DigiCert Inc,C=US (CA) | CN=DigiCert Global Root G2,OU=www.digicert.com,O=DigiCert Inc,C=US | 2 Nov 2017 | 2 Nov 2027 | RSA 2048 | SHA256-RSA | d07782a133fc6f9a57296e131ffd179 |
| CN=DigiCert Global Root G2,OU=www.digicert.com,O=DigiCert Inc,C=US (CA) | CN=DigiCert Global Root G2,OU=www.digicert.com,O=DigiCert Inc,C=US | 1 Aug 2013 | 15 Jan 2038 | RSA 2048 | SHA256-RSA | 33af1e6a711a9a0bb2864b11d09fae5 |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of x402-factory.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | Trust anchor | 20326, 38696 | 8, 8 | Verified |
| com. | DS published | 19718 | 13 | Verified |
| x402-factory.com. | No DS | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://x402-factory.com/mcp | Verified | 200 | |
| http (plaintext) | http://x402-factory.com/mcp | HTTPS enforced | 301 | https://x402-factory.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
weather_aviation_jfk ~124
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_las ~124
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_lax ~126
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_lga ~128
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_mco ~125
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_mia ~125
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_msp ~125
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_ord ~123
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_phx ~127
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_sea ~124
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation_sfo ~126
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]
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
weather_aviation-delay-risk ~125
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]
| Name | Type | Req | Description |
|---|---|---|---|
| iata | string | yes | – |
No output schema declared.
No examples provided.
weather_energy-region ~132
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]
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | yes | – |
| region | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_atlanta ~153
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_austin ~150
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_boston ~150
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_charlotte ~151
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_chicago ~150
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_dallas ~150
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_denver ~151
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_detroit ~151
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_houston ~153
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_jacksonville ~152
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_las-vegas ~159
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_los-angeles ~159
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_miami ~152
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_minneapolis ~150
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_nashville ~153
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_nyc ~157
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_philadelphia ~153
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_phoenix ~153
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_portland ~151
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_san-antonio ~162
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_san-diego ~159
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_san-francisco ~162
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_san-jose ~159
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_seattle ~150
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast_washington-dc ~165
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast-point ~173
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| lat | number | yes | – |
| lon | number | yes | – |
| units | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast-probabilistic ~178
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]
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | yes | – |
| lat | number | yes | – |
| lon | number | yes | – |
| variable | string | yes | – |
No output schema declared.
No examples provided.
weather_forecast-window ~181
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]
| Name | Type | Req | Description |
|---|---|---|---|
| end | string | – | Window end (ISO-8601), ≤12h after start. Default: start + 6h. |
| lat | number | yes | – |
| lon | number | yes | – |
| start | string | – | Window start (ISO-8601). Default: the top of the next hour. |
No output schema declared.
No examples provided.
weather_forecast-window_atlanta ~169
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
weather_forecast-window_austin ~166
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
weather_forecast-window_boston ~166
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
weather_forecast-window_charlotte ~167
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
weather_forecast-window_chicago ~166
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
weather_forecast-window_dallas ~166
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
weather_forecast-window_denver ~167
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
weather_forecast-window_detroit ~167
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
weather_forecast-window_houston ~169
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]
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
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.
remote · x402-factory.com
claude mcp add --transport http praneeth12098-x402-factory 'https://x402-factory.com/mcp'
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.
What did VerifyMCP test on the io.github.praneeth12098/x402-factory MCP server?
VerifyMCP ran 12 checks on io.github.praneeth12098/x402-factory, covering TLS certificate, HTTPS, HSTS header, DNSSEC and 8 more. One item could not be completed, a gap on our side rather than a finding about io.github.praneeth12098/x402-factory: Authorization. Supply Chain Security and Provenance & Transparency do not apply to a hosted endpoint, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.