Prediction markets are noisy, fragmented, and hard to query - a problem Oddpool (YC P26) is betting $3.0M in seed funding can solve. The round backs the startup’s effort to become the institutional data layer for an asset class that’s growing faster than its infrastructure.
Oddpool captures full orderbook microstructure across prediction market venues, then normalizes it into structured, queryable data - Parquet-native, with full provenance. The pitch is that while a Federal Reserve research paper found prediction markets beat traditional forecasts on major macro events, the raw data itself is scattered and unstandardized. Oddpool’s edge is its canonical event mapping, linking the same outcome across exchanges, plus historical depth that compounds over time and can’t be rebuilt retroactively. The company is part of Y Combinator’s P26 batch.
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