AI forecasts, scored in public

The intelligence layer for prediction markets.

Fresh evidence, live market pricing, and a transparent record—so every forecast can be examined before you act on it.

Live contracts matched with Polymarket Kalshi

Key Intelligence Features

Engineered for Prediction Calibration

We run real-time evidence agents to challenge crowd consensus and identify mispriced prediction market contracts.

Real-Time Evidence Gathering

Unlike standard static LLMs, Foresea runs automated research agents that scrape live news databases (via news APIs and search engines) to construct an up-to-the-minute evidence brief for every forecast question.

Automated Edge Detection

Foresea maps its probabilities directly to order-book pricing on Polymarket and Kalshi. It flags significant contract discrepancies, helping you spot arbitrage, hedges, and mispriced markets instantly.

Transparency & Trust

Is the AI forecast actually reliable?

Prediction markets are difficult to beat because they represent the financial stakes of thousands of active traders. To establish trust, every Foresea forecast is logged in public and scored against final real-world outcomes.

We evaluate the forecast calibration: if we group all predictions where we estimated a 75% probability, about 75% of those events should occur. We track these results transparently in our public database and track record sheets.

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Verified System Performance

? Model Accuracy
? Scored Snapshots
? Model Brier Score

Calibration Accuracy (Observed Rates vs Predicted)

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Model