What is Polymarket?
Polymarket is a major crypto-native prediction market — users bet on real-world event outcomes (elections, sports, crypto prices, geopolitics) with USDC, and the resulting prices function as collectively-priced probability estimates.
A Polymarket binary market has two outcome shares: Yes and No, each trading between $0 and $1. At resolution time (when the real-world outcome is known), winning shares pay out $1 each and losing shares pay $0. The current trading price of the Yes share approximates the market's probability estimate of that outcome being true.
For example: if "Will SPY close above $700 on Dec 31, 2026?" has a Yes share trading at $0.38, the market is pricing a 38% probability of SPY closing above $700.
Why AI agents use Polymarket data
Prediction-market prices are live, aggregated, skin-in-the-game probability estimates. For AI agents reasoning over scenarios — "what's the probability X happens by Y?" — Polymarket prices are a useful current signal to combine with market data, on-chain activity, and explicit uncertainty.
Hive's MCP exposes prediction-market events, markets, prices, order books, traders, holders, and trades through normalized Codex-backed tools such as codex_filter_prediction_events, codex_prediction_markets, codex_prediction_market_price, and codex_prediction_trades. CoinGecko MCP, Moralis Cortex, Alchemy, Birdeye, and per-chain MCPs do not cover prediction-market data — prediction markets are one of Hive's unique federation surfaces.
How agents should reason over it
Prediction-market prices are not guarantees. Agents should treat them as live market-implied probabilities, cite the market and timestamp, and avoid presenting a Yes price as a certain forecast. For research workflows, the strongest answers combine Polymarket odds with market data, on-chain activity, and explicit uncertainty.