Problem

Prediction-market data is fragmented across venues such as Kalshi and Polymarket, with different schemas, no shared symbology, and insufficient tick-level history. That forces traders, quant teams, and developers to spend weeks normalizing feeds instead of generating signals, while making it difficult to compare the same event across exchanges or backtest strategies with institutional-grade data. The core pain is most acute when real money enters the market and reliable, cross-venue analysis becomes essential.

The killer use case is giving a trading desk one unified view of identical contracts across venues so it can identify price discrepancies, cross-venue arbitrage, whale activity, and predictive signals without building and maintaining separate data pipelines for every exchange.

Product / Service

Oddpool is a prediction-market data and probability-infrastructure platform delivered through a unified REST and WebSocket API, alongside browser-based dashboards. It aggregates Kalshi and Polymarket data, maps markets to canonical identifiers, and provides real-time order books, trades, historical market data, full-text search, whale-trade monitoring, price spreads, and arbitrage detection through one API key and connection. Users can pull the data programmatically for trading systems, research, backtesting, and automated strategies, while non-developers can use live dashboards, historical charts, paper trading, and an AI analyst.

The delivery model is self-serve and freemium for individual traders and builders, with paid Pro and Premium plans and a custom enterprise tier offering higher limits, historical microstructure, data dumps, custom delivery formats, dedicated support, and service-level agreements. The benefit is a much faster path from raw prediction-market data to usable analysis or production tooling, with the historical record and normalization handled by Oddpool rather than rebuilt by each customer.

Market

Oddpool competes in prediction-market infrastructure, market data, analytics, and developer APIs, with an initial focus on the growing institutional use of prediction markets by quant funds, prop shops, market makers, hedge funds, and trading desks. Its closest identified comparable is Dome, which also offered a unified API for live and historical data across Polymarket and Kalshi; narrower analytics products such as Polymarket Analytics compete for the trader-researcher use case. Oddpool differentiates around canonical cross-venue mapping, full order-book microstructure, historical depth, arbitrage, and institutional delivery options.

The company is early but not pre-revenue: its YC profile says it launched a prosumer tier and reached several thousand dollars in monthly recurring revenue within months, and is now moving upmarket toward institutions. YC lists Oddpool as an active Spring 2026 company with a two-person founding team. The broader opportunity is expanding as new prediction-market venues increase both the addressable market and the fragmentation that makes a unified data layer more valuable.