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Institutional infrastructure for prediction markets
Oddpool is a platform that helps quant funds and trading desks harness the power of prediction markets. We make it easy to access, search, and analyze every venue from one place. Avi and Ritesh have been roommates since freshman year at Georgia Tech. Avi has a Master's in ML and saved Microsoft $6M/year by building a more accurate model on half the hardware. Ritesh has a Master's in Distributed Systems and made buy-side trading systems at Bloomberg 40% faster. We started trading prediction markets ourselves but couldn't backtest our strategies because the tooling for this emerging asset class didn't exist. The deeper we went, the more we saw that fragmentation between prediction markets and lack of clean data was going to be a big problem. We launched a prosumer tier and grew to several thousand dollars in MRR within months. Now we're bringing it to institutions, building tooling with the rigor and depth serious desks demand. They're the fastest growing asset class in finance, and CFTC applications for new exchanges keep climbing. Each new venue makes the market bigger, the fragmentation worse, and the unified data layer more valuable. It doesn't exist yet. We're building it.
Oddpool is an institutional infrastructure platform that surfaces and normalizes data across prediction markets on Kalshi and Polymarket, enabling cross-venue search, orderbook access, whale tracking, and arbitrage opportunities through a unified API and dashboards.
Oddpool provides a single API key to access cross-venue data for Kalshi and Polymarket, including real-time searches of events and markets, historical full orderbooks, top-of-book timeseries, and trade tapes. It offers whale-trade tracking, an arbitrage endpoint that identifies profitable cross-venue opportunities, and macro feeds with liquidity-weighted probabilities. The platform also delivers dashboards, cross-venue search, historical charts, and paper trading, with WebSocket feeds for live updates and a developer-oriented API/docs experience.
Who it’s for: institutional traders, quant teams, researchers, and developers who need cross-venue prediction market data and real-time arbitrage signals
The site mentions multiple pricing tiers (Free and Pro at $30/mo), live dashboards, historical data, and developer-oriented docs, indicating active product traction and monetization efforts.
Founder, CEO @ Oddpool | Prev. ML Researcher @ Microsoft Trained the prompt injection model at Microsoft which secures 20 billion requests / year CS @ Georgia Tech
Founder, CTO @ Oddpool | Prev. SWE @ Bloomberg Architected systems processing 100K+ TPS across trading infrastructure CS @ Georgia Tech
Bringing the power of prediction markets to Wall St
Oddpool provides institutional desks with unified data infrastructure for prediction markets, including canonical symbology across venues, tick-level orderbook history, and backtesting capability.
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Prime brokerage for prediction markets
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