A resolution feed delivers continuous, structured information about prediction market outcomes as soon as they are finalized. Instead of checking each market manually, the feed reports outcome confirmations, resolution timestamps, and any related settlement details in real time. This helps analysts know exactly when a market closes and what result was declared.
Platforms like Polymarket, Kalshi, Myriad, and Manifold all produce outcome data that can be streamed or polled as part of a resolution feed. These feeds capture critical moments such as final outcome submission, dispute windows closing, or settlement completion. Because resolution is a key part of the forecasting lifecycle, a reliable resolution feed creates prediction markets data that allows users to track accuracy, measure latency, and understand how markets behave around closure.
Resolution feeds are especially useful for tools that analyze forecasting performance, monitor arbitration behavior, or build automated reporting systems.
Resolution feeds make prediction markets easier to track and analyze by providing instant, accurate outcome data. They help ensure prediction markets data stays current and actionable.
They are important because outcomes determine payouts and define the accuracy of forecasts. A resolution feed ensures traders, analysts, and automated systems receive outcome information as soon as it becomes official. This strengthens transparency, reduces confusion, and supports better use of prediction markets data in research and decision-making.
Resolution feeds allow analysts to measure resolution latency, detect disputes, evaluate reliability across event types, and compare final outcomes with prior probabilities. This creates a full lifecycle view—from initial forecast to final settlement—making prediction markets data far more useful for calibration, backtesting, and behavioral modeling.
Analysts can examine how quickly events resolve, identify markets with frequent resolution challenges, and detect patterns in settlement timing. They can also link resolutions to probability paths to study forecasting accuracy. These insights help refine market design and improve the quality of prediction markets data overall.
A forecasting dashboard monitors Kalshi and Polymarket resolution feeds to track when major economic, political, or crypto-related markets close. When a market resolves—such as an economic indicator being officially released—the dashboard immediately updates, allowing analysts to compare the final outcome with the market’s last-traded probability.
Resolution feeds require clear, time-stamped outcome data. FinFeed's Prediction Markets API provides structured prediction markets data—including final outcomes, timestamps, disputes, and historical paths—that developers can use to power real-time resolution feeds, accuracy dashboards, and automated reporting tools.
