Kalshi has selected Pyth Network as the official resolution source for its newly launched Commodities Hub, giving the CFTC-regulated prediction market a new settlement framework for event contracts tied to gold, silver, Brent crude oil, natural gas, copper, corn, soybeans and wheat. The companies announced the integration saying Pyth price data will determine contract outcomes, while Pyth Pro will provide direct market-data access to Kalshi’s market makers.
The change matters because it shifts a growing slice of Kalshi’s commodity exposure onto an always-on oracle model built for continuous price resolution rather than exchange-window settlement alone. In its announcement, Pyth said its first-party architecture aggregates prices directly from firms actively trading the underlying assets, drawing on feeds from more than 125 institutions including exchanges, trading firms and market makers. That design is meant to reduce dependence on any single venue or intermediary-processed benchmark and to better match the round-the-clock cadence of event markets.
BREAKING: @Kalshi, the first CFTC-regulated prediction market exchange in the US, has selected Pyth Pro as the exclusive data layer for its commodities markets.
Gold. Silver. Oil. Natural gas. Copper. Corn. Soybeans. Wheat.
Here's why it matters 🧵 pic.twitter.com/Q78FEpiink
— Pyth Network 🔮 (@PythNetwork) April 22, 2026
A new data layer for regulated event contracts
For Kalshi, the operational appeal is clear. Commodity-linked event contracts trade in a market structure that does not always align neatly with traditional exchange hours, especially when geopolitical headlines or macro shocks move prices outside the windows used by legacy benchmarks. Pyth framed its role as supplying a globally available real-time price suitable for 24/7 resolution, while Kalshi said the feeds are fast, granular and easy for infrastructure teams to consume.
That does not mean Kalshi is standardizing all commodity settlement onto a single source. The platform is now running a more layered resolution architecture across its commodity products, with the new hub using Pyth while some legacy oil contracts continue to reference traditional exchange settlement. Kalshi’s own market materials and prior exchange communications show that certain WTI oil contracts resolve against the Intercontinental Exchange’s front-month WTI settlement price, underscoring that liquidity providers and risk teams must map each contract to its designated reference source rather than assume a uniform data regime.
The market saw the integration as meaningful infrastructure
The deeper implication is that regulated event markets are starting to treat pricing infrastructure as a competitive differentiator rather than a background utility. If Pyth’s low-latency feeds help market makers quote tighter prices and manage risk more efficiently, some commodity contracts on Kalshi could become more attractive than products tied to slower or more rigid settlement windows. At the same time, a dual-source model increases the compliance and operational burden on firms that need to document how different contracts resolve, how settlement data is sourced, and how disputes or anomalies would be handled across distinct reference frameworks.
For Kalshi, the integration is less a branding exercise than an attempt to upgrade the plumbing behind physical-asset-linked prediction markets. For Pyth, it extends the network’s role from DeFi-native oracle provider into the data layer of a federally regulated derivatives-style venue. If the Commodities Hub gains depth, the result could be a broader shift in how prediction markets source, verify and operationalize real-time pricing for contracts that sit between traditional finance and crypto-era infrastructure.