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Kalshi has selected Pyth Network as the resolution source for its new Commodities Hub, giving the prediction market operator real-time price data for contracts tied to physical markets. The first lineup includes gold, silver, Brent crude oil, natural gas, copper, corn, soybeans and wheat.
The deal puts Pyth inside one of the more sensitive parts of Kalshi’s expansion: deciding contract outcomes. Kalshi is a CFTC-regulated designated contract market, so the reliability of its settlement data matters for both traders and market oversight.
The Data Will Power Contract Resolution
Pyth said its price feeds will be used to resolve Kalshi’s commodity event contracts. Its Pyth Pro product will also provide direct data access to Kalshi’s market makers, giving trading firms a faster feed into the prices used around these markets.
That role is different from providing general chart data or market commentary. In prediction markets, the resolution source determines whether a contract pays out. Kalshi needs data that can support contract resolution outside standard exchange hours.
Kalshi Pushes Further Into Commodities
The Commodities Hub gives Kalshi a bigger push into traditional financial markets. Barron’s reported last week that the platform was adding contracts tied to energy, metals and agricultural products after strong retail activity in oil markets.
That move broadens Kalshi’s product mix as prediction markets try to show they can handle more than elections, sports and cultural events. Commodities give the platform a more direct link to physical market price risk.
Deal Adds Pyth to Kalshi’s Commodities Expansion
Pyth has been moving deeper into prediction markets as platforms add traditional assets. Earlier this month, Pyth said Polymarket had tapped its data to support traditional asset markets, and the Kalshi integration now gives it another high-profile venue.
For Kalshi, the deal adds a settlement source built for live global pricing. For Pyth, the deal puts its data deeper into regulated event-contract infrastructure, where price accuracy is not just a user-experience feature but the basis for payouts.
