A Forecast API provides structured access to prediction market data—such as probabilities, price movements, market status, and outcomes—through simple API calls. Instead of scraping websites or checking markets manually, developers use the API to retrieve clean, machine-readable information. This makes it easy to integrate prediction markets into dashboards, research tools, and automated forecasting systems.
Platforms like Polymarket, Kalshi, Myriad, and Manifold all generate rich datasets that can be consumed through forecast APIs. These APIs can deliver real-time updates, full historical paths, resolution details, and liquidity information depending on how the platform structures its data. For analysts and developers, this creates a reliable pipeline of prediction markets data that supports modeling, visualization, alerting, and performance analysis.
A Forecast API is especially valuable for teams building forecasting products, academic research, automated monitoring systems, or internal risk dashboards that depend on continuous, accurate probabilities.
Forecast APIs make prediction markets accessible, consistent, and scalable. They turn raw market activity into usable prediction markets data that can power tools, research, and automated systems.
Forecast APIs provide direct, structured access to probabilities and outcomes, removing the friction of manual data gathering. They make it possible to analyze many markets at once, build real-time tools, and compare signals across platforms. This improves the usefulness and reach of prediction markets data across industries and workflows.
They enable live dashboards, automated alerts, and analytical models to stay continuously updated. A Forecast API can feed probability curves into decision systems, track sentiment changes, or trigger alerts when markets move sharply. This turns prediction markets data into a constant, reliable forecasting engine.
Analysts can track how probabilities evolve, measure volatility, detect information shocks, compare forecasts across events, and evaluate accuracy after resolution. They can also identify trends across categories and improve modeling techniques. API-delivered prediction markets data provides the granularity needed to study market behavior deeply.
A research team builds a dashboard using a Polymarket-compatible Forecast API to monitor political, crypto, and macroeconomic markets. The dashboard updates in real time, showing sudden probability jumps during breaking news, allowing analysts to act immediately on new insights.
A Forecast API pairs naturally with structured, real-time forecasting data. FinFeed's Prediction Markets API provides consistent prediction markets data—probabilities, outcomes, liquidity signals, and full historical paths—making it easy for developers to build automated forecast tools, dashboards, and analytic systems.
