In prediction markets, the arbitrator steps in when traders challenge an outcome. If users believe a market was resolved incorrectly—because of unclear data, misreported results, or platform errors—the dispute is escalated to the arbitrator. This system ensures that markets settle based on verified facts, not assumptions or incorrect inputs.
On platforms like Kalshi, the arbitrator is part of the regulated exchange infrastructure, where market outcomes follow strict rules tied to official data sources. Polymarket relies on a clearly defined escalation process where disputes can move from initial resolution to a final arbitrator that issues the definitive outcome. Myriad and Manifold operate with platform-defined resolution systems that include arbitration logic, allowing disputed markets to be reviewed and corrected when necessary.
Across all these platforms, the arbitrator provides a transparent, rule-based way to finalize outcomes. Its decisions become part of prediction markets data, helping analysts assess dispute frequency, platform reliability, and forecasting integrity.
Arbitrators protect users from incorrect market outcomes and preserve trust in the forecasting system. Their decisions improve the reliability and accuracy of prediction markets data.
Prediction markets require arbitrators because even strong resolution systems can encounter conflicting information or ambiguous events. When this happens, a neutral and rule-based arbitrator decides the final outcome. This prevents wrongful payouts and maintains fairness. By consistently confirming accurate results, arbitrators enhance the quality of prediction markets data.
In every case, the arbitrator ensures that final decisions are made transparently and consistently, producing stable prediction markets data.
Analysts can study which markets escalate to arbitration, how often disputes occur, and how quickly arbitrators resolve them. These patterns reveal where users face uncertainty, where criteria may be unclear, and how reliable the underlying resolution mechanisms are. Arbitrator data also improves understanding of forecasting performance across event types.
Arbitration outcomes generate valuable metadata about disputes, resolution timing, and final decisions. FinFeed's Prediction Markets API provides structured prediction markets data that helps developers analyze arbitration behavior, evaluate platform reliability, and build tools that monitor settlement accuracy.
