How Polymarket Builds Trust in Prediction Markets with Pyth Pro

Polymarket uses Pyth Pro to provide real-time pricing in its traditional-asset prediction markets, with live data that participants can independently view and verify.

Products

Pyth Pro

Challenge

In prediction markets, data quality is central to fair settlement and platform trust. When millions of dollars can hinge on a single price point, such as whether gold closes above or below a certain level, participants need confidence in the reliability of the resolution source and its resilience against manipulation.
Traditionally, accessing high-fidelity, real-time data for equities and commodities required multiple vendor relationships and separate infrastructure across asset classes.

Solution

Polymarket integrated Pyth Pro as a data source for traditional-asset markets, including gold, silver, single-name US equities, and major ETFs such as QQQ.

Pyth data is contributed directly by first-party institutional publishers, including Jump Trading and Jane Street. Polymarket uses Pyth Pro data to provide the “price to beat” for these markets.
Participants can also use the Pyth Terminal to independently view live data feeds and historical prices.

Impact

Institutional Data: Polymarket uses real-time Pyth Pro pricing contributed by institutional publishers to support its traditional-asset prediction markets.

Cross-Asset Coverage: The integration demonstrates Pyth Pro’s coverage beyond crypto, supporting prediction markets tied to commodities and mega-cap technology stocks such as TSLA and NVDA.

Continuous Visibility: Polymarket gives participants continuous visibility into the Pyth data supporting these markets through live price charts and access to historical information.

Success Stories