Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

Prediction Market X Sentiment

PYPI · PREDICTION-BOT-MCP · 2 COMPONENTS · SCANNED OCT 7

Polymarket & Kalshi sentiment from X (Twitter) via Grok. Free daily scores; live scoring via x402.

82 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 2 of 33 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to wballztrading1/Prediction-bot). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 2 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability79
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 563 tokens (~62/item across 9 items; 9 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

How do I install the Prediction Market X Sentiment MCP server?

Prediction Market X Sentiment runs locally as a PyPI package, launched with uvx prediction-bot-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · prediction-bot-mcp

# add to Claude Code
claude mcp add wballztrading1-prediction-bot -- uvx prediction-bot-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "wballztrading1-prediction-bot": {
      "command": "uvx",
      "args": [
        "prediction-bot-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "wballztrading1-prediction-bot": {
      "command": "uvx",
      "args": [
        "prediction-bot-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add wballztrading1-prediction-bot -- uvx prediction-bot-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "wballztrading1-prediction-bot": {
      "type": "local",
      "command": [
        "uvx",
        "prediction-bot-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add wballztrading1-prediction-bot --command uvx --arg prediction-bot-mcp
# ~/.hermes/config.yaml
mcp_servers:
  wballztrading1-prediction-bot:
    command: "uvx"
    args: ["prediction-bot-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "wballztrading1-prediction-bot": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "prediction-bot-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add wballztrading1-prediction-bot -t stdio -c uvx -a prediction-bot-mcp
// mcp.json
{
  "mcpServers": {
    "wballztrading1-prediction-bot": {
      "command": "uvx",
      "args": [
        "prediction-bot-mcp"
      ]
    }
  }
}
Changelog

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.

  • 4 Oct 26 82

    First indexed and scored.

Diagnostics

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 9 Oct 2026 · Analysed pypi/prediction-bot-mcp@0.2.0

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo wballztrading1/Prediction-bot
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/wballztrading1/Prediction-bot/.github/workflows/publish-mcp.yml@refs/tags/mcp-v0.2.0
Rekor log index 3078099708
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:0b07d1260ec5427fa86ce87d1acc6acf56350b2ed69df50f110a346b0dfd7404

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 33 packages
Packages resolved 33
Stale 1
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 9 exposed · ~462 tokens

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 →

Tool Tokens
get_catalog ~25

Free. Machine-readable catalog of every route, price, network and pay-to address.

Input schema present but exposes no named parameters.

NameTypeReqDescription
asset–––
base_url–––
free––Free routes
network––Payment network (CAIP-2), e.g. eip155:8453 for Base
paid––Paid routes with prices
pay_to–––
service–––

No examples provided.

get_daily_scores ~63

Free. Latest daily X (Twitter) sentiment score for each prediction market we track (Polymarket), with the change since the previous day, the catalyst and the market's Yes price. For a fresh score on any other question use get_market_sentiment.

Input schema present but exposes no named parameters.

NameTypeReqDescription
as_of––Time of the newest score
count–––
marketsarray––
note–––

No examples provided.

get_health ~19

Free. Service status, prices and the routes available.

Input schema present but exposes no named parameters.

NameTypeReqDescription
network–––
price_brief–––
price_lite–––
routes–––
status–––

No examples provided.

get_market_brief ~91

Paid (see get_pricing). Full brief for a market question: score, catalyst, volume trend, change since the previous score, a one-line summary and live Polymarket and Kalshi odds.

NameTypeReqDescription
qstringyesA Polymarket or Kalshi market question in plain words, e.g. 'Will the Fed cut rates in October 2026'. Up to 200 characters.
NameTypeReqDescription
accepts–––
catalyst–––
error––Set when a spend cap blocked the call
how_to_pay–––
odds––Live Polymarket and Kalshi Yes prices for the matched market
payment_required––True when no payment was made; accepts and how_to_pay say how to pay
price_usd–––
question–––
score––-100 very bearish .. +100 very bullish
score_before–––
scored_at–––
shift––Change since the previous score
summary––One-line summary
url–––
volume_signal––rising, falling or flat

No examples provided.

get_market_sentiment ~91

Paid (see get_pricing). Fresh X (Twitter) sentiment for any Polymarket or Kalshi market question: score -100..100, the catalyst driving the chatter and the volume trend.

NameTypeReqDescription
qstringyesA Polymarket or Kalshi market question in plain words, e.g. 'Will the Fed cut rates in October 2026'. Up to 200 characters.
NameTypeReqDescription
accepts–––
catalyst–––
error––Set when a spend cap blocked the call
how_to_pay–––
payment_required––True when no payment was made; accepts and how_to_pay say how to pay
price_usd–––
question–––
score––-100 very bearish .. +100 very bullish
scored_at–––
url–––
volume_signal––rising, falling or flat

No examples provided.

get_pricing ~20

Free. Current USDC prices for the paid tools.

Input schema present but exposes no named parameters.

NameTypeReqDescription
currency–––
ladder–––
network–––
price_brief––Price of /sentiment and /brief, e.g. $0.35
price_lite––Price of /top and /shift, e.g. $0.35

No examples provided.

get_sample ~26

Free. Static example of a sentiment response (not live data) to preview the shape.

Input schema present but exposes no named parameters.

NameTypeReqDescription
demo–––
example_request–––
example_response–––
note–––

No examples provided.

get_sentiment_shift ~78

Paid (see get_pricing). Change in X sentiment for a market question since its previous score, with both timestamps and the catalyst.

NameTypeReqDescription
qstringyesA Polymarket or Kalshi market question in plain words, e.g. 'Will the Fed cut rates in October 2026'. Up to 200 characters.
NameTypeReqDescription
accepts–––
catalyst–––
error––Set when a spend cap blocked the call
how_to_pay–––
payment_required––True when no payment was made; accepts and how_to_pay say how to pay
price_usd–––
prior_scored_at–––
question–––
score_before–––
score_now–––
scored_at–––
shift–––
url–––

No examples provided.

get_top_markets ~49

Paid (see get_pricing). The three Polymarket/Kalshi markets most discussed on X right now, each with a sentiment score (-100..100), catalyst and volume trend.

Input schema present but exposes no named parameters.

NameTypeReqDescription
accepts–––
error––Set when a spend cap blocked the call
how_to_pay–––
markets––Up to 3 markets, each with score, catalyst, volume_signal
payment_required––True when no payment was made; accepts and how_to_pay say how to pay
price_usd–––
scored_at–––
url–––

No examples provided.

Common questions

What is the Prediction Market X Sentiment MCP server?

Prediction Market X Sentiment is an MCP server listed in the public MCP registry as io.github.wballztrading1/prediction-bot. Polymarket & Kalshi sentiment from X (Twitter) via Grok. Free daily scores; live scoring via x402. This page covers its PyPI package (prediction-bot-mcp).

Is the Prediction Market X Sentiment MCP server safe to use?

Prediction Market X Sentiment scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 7 October 2026. Its build provenance is signed and verified. 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 Prediction Market X Sentiment MCP server expose?

Prediction Market X Sentiment exposes 9 tools: get_daily_scores, get_catalog, get_pricing, get_sample, get_health, and 4 more. Their descriptions and schemas cost roughly 462 tokens of context every time the server is loaded.

Is the Prediction Market X Sentiment MCP server still maintained?

Prediction Market X Sentiment is still listed as active in the MCP registry. We last reached this channel on 7 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the Prediction Market X Sentiment MCP server under?

Prediction Market X Sentiment declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.