Build integrated IS/BS/CF financial workbooks in Excel.
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Query Polymarket: markets, prices, orderbooks, history.
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See how to installReview the instructions the agent will receive before you install.
Query prediction market data from Polymarket using their public REST APIs. All endpoints are read-only and require zero authentication.
See references/api-endpoints.md for the full endpoint reference with curl examples.
outcomePrices field: JSON-encoded array like ["0.80", "0.20"]clobTokenIds field: JSON-encoded array of two token IDs [Yes, No] for price/book queriesconditionId field: hex string used for price history queriesgamma-api.polymarket.com — Discovery, search, browsingclob.polymarket.com — Real-time prices, orderbooks, historydata-api.polymarket.com — Trades, open interestWhen a user asks about prediction market odds:
Format prices as percentages for readability:
["0.652", "0.348"] becomes "Yes: 65.2%, No: 34.8%"Example: "Will X happen?" — 65.2% Yes ($1.2M volume)
The Gamma API returns outcomePrices, outcomes, and clobTokenIds as JSON strings
inside JSON responses (double-encoded). When processing with Python, parse them with
json.loads(market['outcomePrices']) to get the actual array.
Generous — unlikely to hit for normal usage:
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Build integrated IS/BS/CF financial workbooks in Excel.
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Run and grow the OpenAmer Agent-to-Agent swarm: identity, trust, node-to-node ask, signed skill/insight sharing, and the autonomous self-learning loop.
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Use for A/B experiments on OpenAmer configs and skills.
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Roleplay a hostile user to find and triage UX pain points.
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Agent mesh: master/worker nodes, HTTP delegation, heartbeat.
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Use for agentic commerce payments tasks. Candidate synthesized from trend radar; awaiting trial promotion.
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