Degenscan Intel Binary Market Forecaster is a paid API for AI agents from intel.degenscan.io, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-01).
Returns a calibrated YES-probability for a binary market question using Monte Carlo simulation of LLM agent societies combined with base-rate-anchored expert panel synthesis, grounded in live market data.
Cross-asset market event intelligence for AI trading agents. Priced routes return HTTP 402 with x402 v2 payment requirements (USDC on Base) unless X-API-KEY is sent or the free trial header X-Free-Trial: 1 is present (100 calls/day/IP). Information and analytics only — not investment advice.
An async job is initiated (HTTP 202) returning a forecast_id and poll URL. On completion, the result includes: a calibrated YES probability (e.g. 0.319), an 80% confidence interval (e.g. [0.24, 0.41]), the base rate used for anchoring, the current market odds, the edge vs market (e.g. -0.031), a confidence level string, and a SHA-256 commitment hash for auditability. Results are backed by a public Brier score track record.
POSThttps://intel.degenscan.io/v1/oracle/forecast?utm_source=zero.xyzChoose this endpoint when you need a statistically calibrated probability for a binary yes/no market question, especially when you want to compare against existing Polymarket odds to identify edge. It is superior to simple sentiment analysis or price-based heuristics because it combines Monte Carlo LLM agent simulation with base-rate anchoring and live market data. Best suited for prediction market traders, quantitative researchers, and AI trading agents that need a defensible probability estimate with a confidence interval and an audit trail via commitment hash.
| Field | Type | Description |
|---|---|---|
| runs | number | |
| rounds | number | |
| context | string | |
| question | string | |
| population | number | |
| resolves_at | string |
{
"type": "json",
"example": {
"poll": "/v1/oracle/forecast/3f9a1c2b7d4e",
"eta_s": 150,
"status": "queued",
"forecast_id": "3f9a1c2b7d4e",
"done_example": {
"ci80": [
0.24,
0.41
],
"edge": -0.031,
"base_rate": 0.227,
"confidence": "medium",
"market_odds": 0.35,
"probability": 0.319,
"commitment_hash": "sha256…"
}
}
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