The Standard for Prediction Markets: Kalshi Selects Pyth

Kalshi, the world’s largest prediction market, has integrated Pyth as the resolution source for its newly launched Commodities Hub, a dedicated product section for trading event contracts tied to the world’s most important physical markets, including gold, silver, Brent crude oil, natural gas, copper, corn, soybeans, and wheat. The resolutions will be powered by Pyth price data. As part of the integration, Pyth Pro, a next-generation market data service, will provide direct data access to Kalshi’s market makers.

Prediction markets need a new standard

As prediction markets move from niche products to a mainstream asset class, the contracts they resolve are becoming larger, more dynamic, and increasingly global. That scale raises the bar for infrastructure: resolution sources must be accurate, transparent, always on, and built for markets that never sleep.

For too long, many prediction platforms have relied on ad hoc workflows, manual processes, or opaque third-party feeds that were never designed for continuous, real-time resolution. Pyth is changing that. With institutional-grade pricing sourced directly from the firms actively trading the underlying assets, Pyth is becoming the data layer that the category’s leading platforms can rely on for resolutions.

Why Kalshi chose Pyth Pro

Kalshi’s Commodities Hub brings a new level of ambition to prediction markets: a dedicated venue for event contracts tied to some of the world’s most important physical markets. But commodities have historically settled on exchange windows that close at night and on weekends, creating a structural mismatch for markets that trade continuously.

That is where Pyth fits in. Pyth’s first-party data model aggregates prices directly from firms actively trading the underlying assets, delivering a globally available real-time price suited for 24/7 resolution across markets and asset classes.

For a platform operating at this scale, the choice of resolution source is not just a technical detail. It is a core part of market integrity. Pyth Pro meets that bar by giving Kalshi the institutional-grade pricing infrastructure needed to support continuous trading and reliable contract settlement.

The assets

Kalshi’s initial launch includes a broad commodities slate: gold, silver, Brent crude oil, natural gas, copper, corn, soybeans, and wheat. Additional asset classes are expected to follow as the exchange expands its market coverage.

These are traditional commodity markets with deep institutional participation and significant price complexity. Pricing them accurately requires data from participants who are actively trading the assets, not aggregators repackaging exchange data after the fact. Pyth’s upstream sourcing model is designed for exactly this use case, giving prediction markets a live view of global trading activity across markets and asset classes.

The emerging standard for prediction market data

Prediction markets are expanding beyond their original use cases. Political outcomes and crypto prices were the first wave. Commodities and traditional financial instruments are the next. As that expansion accelerates, the infrastructure behind resolution becomes increasingly consequential.

Pyth Pro is becoming the answer to that question. From Polymarket to Kalshi, Pyth is capturing the prediction market resolution stack and establishing itself as the unified backbone for platforms that need fast, credible, globally accessible pricing.

Kalshi’s integration is more than a product announcement. It is a signal about where the category is heading—and what the standard looks like for platforms that take data quality seriously.

“As the exchange deepens our offerings in liquid commodities, it’s important that Kalshi’s markets are backed by fast, institutional-grade data. Pyth’s price feeds are both granular and easy to consume, complementing Kalshi’s mission to make these markets accessible to a broader set of retail and institutional participants. It’s been great working with a team willing to meet our infrastructure needs.” — John Wang, Head of Crypto at Kalshi

"Contract resolution for 24/7 markets is incompatible with data designed for the current 9-to-5 schedule," said Mike Cahill, CEO of Douro Labs and Contributor to Pyth Network. "Kalshi's Commodities Hub is precisely the kind of product Pyth was built to support through a real-time view of global trading activity across markets and asset classes, and we're proud to serve as the data layer for one of the most important venues for global price discovery."

What comes next

Kalshi's initial markets cover a broad commodities slate, with more asset classes to follow. As Pyth Pro's coverage expands across indices, equities, FX, and beyond, prediction platforms will have access to the same institutional-grade data layer for every market type they want to build.

The data standard for prediction markets is being set now. Pyth Pro is it.