Pyth Network launches a data marketplace pushing institutional data on-chain. At a time when real-time financial data is everything, Pyth Network has officially rolled out its Pyth Data Marketplace.
The new platform lets major institutions publish and sell their proprietary datasets directly on blockchain networks, giving them full control while opening up access to a broader range of users and applications.
The launch brings on board seven heavyweight financial players as initial data publishers: Euronext, Exchange Data International, Fidelity Investments, OTC Markets Group, Singapore Exchange FX, and Tradeweb. These firms represent TradFi credibility stepping into the on-chain world.
More than just crypto prices
The marketplace is being built on Pyth’s five years of experience running a high-performance price oracle. But instead of stopping at crypto prices, it now lets institutions distribute everything from spot FX rates and precious metals data to crude oil swaps, macroeconomic indicators, volatility curves, ETF iNAVs, fixed income references, and other specialized datasets. With this on-chain data marketplace, institutions get full control. In traditional data markets, institutions often hand off their information to intermediaries, losing pricing power, attribution, and visibility.
What makes the Pyth’s new model different?
With Pyth’s model, publishers keep ownership, set their own prices, and cryptographically sign the data themselves. End users get verifiable, tamper-resistant feeds straight from the source.
Pyth recognized the need for a modern data distribution model that brings data directly from the source. Mike Cahill, CEO of Douro Labs and a key contributor to Pyth Network, said, Our 24/7 global economy needs more than just a price layer. It needs a comprehensive, accessible, and transparent data layer.
He put it even more directly later, saying, Market data has flowed through the hands of a few selected people for too long. We’re working with some of the world’s largest financial institutions to rewrite that model and introduce an open data economy.
Pyth uses a pull-based oracle system; data only hits the chain when someone actually needs and pays for it. That’s a big departure from the usual push model that forces users to subscribe to bulky, expensive full datasets they might only partially use. The result is Lower costs, less waste, and near real-time access for DeFi protocols, on-chain derivatives, and lending platforms.
Why institutions are interested
At Tradeweb, Michael Zaladonis, Global Head of Data Products and Analytics, pointed to growing demand for timely ETF data, stating By publishing our iNAVs to the Pyth Network, we are exploring how on-chain infrastructure can extend the reach of high-quality, intraday valuations to a broader set of market participants. This complements existing distribution channels.
Pyth already aggregates feeds from over 120 institutions and has been quietly expanding into non-price data, including public economic indicators from the U.S. Department of Commerce and event-driven data from Kalshi.
For decentralized finance, this matters. Many DeFi applications still struggle with reliable, institutional-grade inputs for everything from OTC pricing on illiquid assets to macro benchmarks. Pyth’s approach aims to reduce that information gap while maintaining the transparency and auditability that blockchain promises.
