Agent integration surface for prediction-market intelligence
Foresea exposes forecasting, market-edge analysis, radar, and track-record data through public agent-readable endpoints. Use MCP for tool-calling agents, OpenAPI for HTTP agents, and server-sent events when an agent wants live conversational output.
Recommended Agent Workflow
- Read
/llms.txtor/.well-known/agent.jsonfor tool discovery. - Use
/radaror/agent/scanto find candidate markets. - Use
/predictfor structured probabilities or/predict/streamfor live prose. - Compare against
/track-recordbefore trusting the model on a new domain. - Use evidence links returned by the API when presenting a forecast to a user.
MCP
Remote MCP endpoint: https://foresea.ink/mcp/.
Discovery manifest: /.well-known/mcp/server.json.
{
"mcpServers": {
"foresea": {
"url": "https://foresea.ink/mcp/"
}
}
}
Primary tools include foresea_forecast, foresea_analyze_market,
foresea_scan_markets, foresea_radar, and foresea_track_record.
HTTP Endpoints
Stream a conversational forecast
POST /predict/stream returns server-sent events: meta, delta, done, and error.
curl -N https://foresea.ink/predict/stream \
-H "Content-Type: application/json" \
-d '{"question":"Will the Fed cut rates before September 30, 2026?","attach_evidence":false}'
Get a structured probability
POST /predict returns typed JSON with probability, rationale, evidence, and optional market-edge analysis.
curl https://foresea.ink/predict \
-H "Content-Type: application/json" \
-d '{"question":"Will oil exceed $100 before the end of 2026?","market_probability":0.31}'
Scan or monitor markets
GET /radar- daily unusual-market radar.GET /agent/scan?platform=all&query=crypto- live market scan.GET /track-record- public accuracy and calibration record.
Discovery Files
/llms.txt- compact guide for LLM context windows./.well-known/agent.json- Foresea agent manifest./.well-known/ai-plugin.json- plugin-style manifest for compatible clients./openapi.json- full API schema./robots.txt- crawler policy and discovery hints.