Polymarket Odds & Movers is a paid API for AI agents from patch-guard-api.me-e51.workers.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Returns normalized Polymarket prediction market odds, sorted by top movers or volume, with probabilities summing to 1
Four x402-paid agent utilities: safe JSON Patch evaluation, multi-source crypto price consensus, normalized Polymarket movers, and deterministic JSON repair/canonicalization.
A JSON object with a timestamp, sort method used, and an array of up to 20 Polymarket markets each containing the question text, outcome names with normalized probabilities summing to 1, 24h directional change and percentage-point move, liquidity in USD, 24h volume in USD, market URL, end date, and methodology note explaining probability normalization.
POSThttps://patch-guard-api.me-e51.workers.dev/v1/polymarket-oddsUse this endpoint when you need normalized, probability-consistent Polymarket odds (outcomes sum to 1) with 24h movement data, especially when screening for trending or high-volume markets. Prefer this over raw Polymarket API access when you need pre-normalized probabilities and ranked market discovery without building your own data pipeline. Best suited for agents monitoring prediction market sentiment or tracking event probability shifts.
| Field | Type | Description |
|---|---|---|
| sort | string | |
| limit | integer | |
| minVolume24hUsd | number |
{
"type": "json",
"example": {
"asOf": "2026-08-08T12:00:00.000Z",
"sort": "movers",
"source": "Polymarket Gamma API",
"markets": [
{
"id": "12345",
"url": "https://polymarket.com/event/example-market",
"slug": "example-market",
"endDate": "2026-12-31T00:00:00Z",
"outcomes": [
{
"name": "Yes",
"rawPrice": 0.62,
"probability": 0.62
},
{
"name": "No",
"rawPrice": 0.38,
"probability": 0.38
}
],
"question": "Will the example happen?",
"direction24h": "up",
"liquidityUsd": 500000,
"volume24hUsd": 125000,
"rawProbabilitySum": 1,
"change24hPercentagePoints": 4.5
}
],
"methodology": "Outcome token prices are divided by their sum so returned probabilities total 1."
}
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