prediction_market_screener

shallow

io.github.nansen-ai/nansen-mcp · Verify this server

Browse and sort Polymarket markets, events, or categories. **When to use:** - Broad discovery, screening, and ranked browsing across many markets. - Do NOT use this to resolve one named market/event/slug/URL — use `prediction_market_lookup` instead. **Query tips:** - Literal-style matching on text and slugs, not fuzzy web search. - Prefer one short topic or slug fragment (e.g. `fed cuts`, `zelensky`, `ncaa tournament`). - Do not bundle unrelated topics (e.g. `bitcoin ethereum politics weather`). If a broad question spans several topics, run separate screener queries for each. - If a query returns no rows, do not invent a nearest match — try a narrower topic or say no data was returned. **Output rules:** - Superlatives (highest, leading, biggest, top, trending) must match the shown metric exactly. - Do not infer end dates, rankings, or category leadership from titles alone.

100.0/100

1 trials · measured 8 days ago

prediction_market_screener scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.nansen-ai/nansen-mcp, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Category
Developer infrastructure
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: prediction_market_screener
[![Vouch score](https://vouch.tools/api/tools/90265e9b-a758-4bbd-b79f-2bf57de3b2fa/badge.svg)](https://vouch.tools/tools/90265e9b-a758-4bbd-b79f-2bf57de3b2fa)