Pyth Adds to Data Offering with Marketplace

Pyth Network continues to add to its stable of products in the data world with the launch of Data Marketplace, a distribution engine the firm says enables institutions to publish and monetise unique datasets across blockchains, applications, and financial firms.

Pyth says the new service introduces a model where institutions can distribute anything from economic indicators to proprietary indices while maintaining full control over the underlying data. Euronext, Exchange Data International (EDI), Fidelity Investments, OTC Markets Group, SGX FX, and Tradeweb, have started publishing proprietary market data.

“These institutions recognise the need for a modern distribution model where data comes directly from the source,” says Mike Cahill, CEO of Douro Labs and Contributor to Pyth Network. “Our 24/7 global economy needs more than just a price layer. It needs a comprehensive, accessible, and transparent data layer, one we are proud to advance with the launch of Pyth Data Marketplace.”

At launch, the Data Marketplace will be home to datasets including spot FX, precious metals, and crude swaps data, as well as reference datasets across equities, exchange-traded funds, fixed income, and derivatives.

“Market data has flowed through the hands of a select few for too long,” observes Cahill. “We’re working alongside some of the world’s largest financial institutions to rewrite that model and establish an open data economy, creating a modern market data solution built by and for institutions.”

Pyth says more than 120 institutions now publish data through its services, reflecting a broader shift across global finance as institutions increasingly want direct, programmable distribution channels for the market data they generate. The Data Marketplace already features datasets from the US Department of Commerce and Kalshi, and will continue to grow as more institutions leverage Pyth Network as a distribution channel, the firm says, adding, “This signals Pyth Network’s ability to serve as the foundational price layer of global market data, driving transparency and enabling real-time data distribution across the global financial system.”

On the latest development, Nicolas Jegou, CEO of Euronext FX says, “Publishing [Euronext FX] data through Pyth marks an important step toward a unified, transparent, and programmable market data standard for modern finance.”

Michael Zaladonis, global head of data products and analytics, Tradeweb, adds, “At Tradeweb, we are seeing growing demand for more timely and accessible ETF data. By publishing our iNAVs to the Pyth Network, we are exploring how onchain infrastructure can extend the reach of high-quality, intraday valuations to a broader set of market participants. This complements existing distribution channels and reflects a shift toward more open, scalable and programmable access to market data.”