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Published: just now

Pyth Network has launched the Pyth Data Marketplace, a data distribution platform enabling financial institutions to publish and monetise proprietary datasets across blockchains, applications, and financial firms. The launch is backed by collaborations with Euronext, Exchange Data International (EDI), Fidelity Investments, OTC Markets Group, Singapore Exchange FX (SGX FX), and Tradeweb, each of which is now publishing proprietary market data through the network.
The platform is designed to allow institutions to distribute datasets ranging from economic indicators to proprietary indices while retaining full control over the underlying data. At launch, available datasets include spot FX, precious metals data, crude swaps data, and reference datasets across equities, exchange-traded funds, fixed income, and derivatives.
Mike Cahill, CEO, Douro Labs and Contributor, Pyth Network
Mike Cahill, CEO, Douro Labs and Contributor, Pyth Network said:
"These institutions recognize the need for a modern distribution model where data comes directly from the source. 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."
Pyth Network has been operating since 2021, during which time it has worked with data publishers providing aggregated, anonymised market data through its Pyth Price Feeds. More than 120 institutions now publish data through the network.
Mike Cahill, CEO, Douro Labs and Contributor, Pyth Network also commented:
"Market data has flowed through the hands of a select few for too long. 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."
Euronext FX is among the initial publishing partners contributing currency and metals pricing data to the marketplace.
Nicolas Jegou, CEO, Euronext FX
Nicolas Jegou, CEO, Euronext FX said:
"Euronext FX's data represents some of the highest-quality institutional pricing available across global currency and metals markets. Publishing this 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
Michael Zaladonis, Global Head of Data Products and Analytics, Tradeweb said:
Tradeweb is publishing intraday net asset values (iNAVs) for exchange-traded funds through the platform.
“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.”
The Pyth Data Marketplace already includes datasets from the U.S. Department of Commerce and Kalshi, with further additions expected as more institutions adopt the network as a distribution channel.
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