Pyth Pro has established itself as a fundamentally different pricing infrastructure, sourcing data directly from 125+ institutional publishers who are active price discovery participants.
Key differentiators:
- First-party data from market makers, exchanges, and trading firms
- No API scraping or downstream vendor aggregation
- No black-box logic or restrictive redistribution terms
- Transparent data sourcing with full publisher visibility
This upstream approach contrasts with traditional data vendors that rely on aggregated, delayed feeds. Publishers include major institutions like Tradeweb, Euronext FX, and other established financial firms contributing proprietary data across 3,000+ feeds spanning equities, futures, ETFs, commodities, FX, crypto, and fixed income.
The infrastructure has already secured over $2.7 trillion in transaction volume and powers platforms like Polymarket, Coinbase, Crypto.com, and BitMEX through Pyth Pro X.
Users can verify data quality directly through Pyth Terminal, which offers real-time charts, full publisher visibility, and benchmark comparisons.
Six institutions. Three continents. FX, commodities, fixed income, OTC, reference data, and more. All publishing proprietary data through Pyth. Start exploring the Marketplace here: pyth.network/marketplace?ut…
🇪🇺 NEW DATA PROVIDER: Euronext FX Euronext FX, Europe's largest exchange group, is now publishing institutional FX and precious metals data directly to Pyth Pro, adding one of the deepest sources of European liquidity to the network.
Pyth's equity feeds are built differently: 1. First-party data from institutional publishers (market makers, exchanges, trading firms) 2. Accuracy benchmarked against the primary exchange, not the cheapest licensing venue 3. Separate publisher sets curated for each of the four
Pyth Pro pricing is sourced upstream. 125+ institutional publishers contributing directly. Active price discovery participants, not downstream vendors. No API scraping. No aggregation delays. No black-box logic. No restrictive redistribution. Just transparent, first-party
Historically, the legacy model concentrated control with vendors. The institutions generating price discovery had the least control over how their data was used and distributed. The Pyth Data Marketplace is breaking the mold with something simpler and more accessible:
What Pyth Pro X delivers: → 3000+ price feeds across crypto, equities, FX, indices → 96%+ accuracy vs. NBBO → Sub-100ms end-to-end latency → 24/5 equity coverage for 50+ U.S. stocks → New market launches in days, not months One integration. One price layer.
Want to see the underlying data yourself? Every Pyth Pro commodities feed is live on Pyth Terminal. Real-time charts, full publisher visibility, benchmark comparisons built in. Don't trust. Verify. Read more ⬇️ pyth.network/blog/the-stand…
BREAKING: @Polymarket just went live with traditional asset markets, powered by Pyth Pro 🔮 Major equity index ETFs, commodities, single-name US equities up/down + daily close contracts. All relying on Pyth data. Here's how it works and why it matters 🧵
Where Pyth is going: Lazer → the new price oracle infrastructure. Pyth Pro → 3,000+ feeds across equities, futures, ETFs, commodities, FX, crypto, and fixed income, delivered through standard APIs on tiered subscriptions. Pyth Data Marketplace → exclusive, high-demand
New Pyth Pro User: @Polymarket The world's largest prediction market is now powered by Pyth Pro. Gold. Silver. Oil. US Equities. Live price charts. Updated in real-time. Powered by Pyth.
Don’t trust. Verify. @Polymarket’s Crude Oil market is powered by Pyth.
Euronext. Exchange Data International (EDI). Fidelity Investments. OTC Markets Group. SGX FX. Tradeweb. For decades, their data lived behind terminals and vendor networks. Today, they’re trusting Pyth to distribute their data everywhere. Not as an experiment. As
The advantage is upstream. Discover Pyth Terminal: a new interface where anyone can explore Pyth's full library of price feeds, verify data quality firsthand, and access a free trial of Pyth Pro ➡️ pythdata.app/explore
Someone bought Pyth API access & built a trading edge without a quant team. - 1ms latency, 400x faster than Polymarket - No models, no engineers, no complex infra - One bot, one trade a day, catches end-of-market price diff pic.x.com/yYD8eixprL
The world’s top financial institutions are publishing their data through Pyth.
That difference matters. Pyth data has secured over $2.7 trillion in transaction volume across onchain and offchain markets. Polymarket chose that same institutional data infrastructure for its traditional asset contracts.
Integrate close to 3000 price feeds with Pyth Pro: pyth.network/price-feeds
Exchanges are standardizing on a new price layer with the launch of Pyth Pro X.
Introducing Pyth Pro X. Institutional market data built for exchanges. One subscription. Every asset class. No exchange fees, no redistribution barriers, no vendor lock-in. Powering @coinbase, @cryptocom, @tradexyz, @Dreamcash, @bitget, @BitMEX, @LMAX, and others.
More on Pyth Pro X here: pyth.network/blog/introduci…
BREAKING: 6 of the world’s largest financial institutions join Pyth Network to distribute proprietary data onchain 🏦 Unlocking: Spot FX. Precious metals. Crude swaps. OTC pricing. Fixed income. Corporate actions. Reference data. Introducing the Pyth Data Marketplace 🧵
Pyth Pro for Agents is live now. Read the full breakdown: pyth.network/blog/pyth-pro-…
Introducing Pyth Pro X. Institutional market data built for exchanges. One subscription. Every asset class. No exchange fees, no redistribution barriers, no vendor lock-in. Powering @coinbase, @cryptocom, @tradexyz, @Dreamcash, @bitget, @BitMEX, @LMAX, and others.
When millions of dollars are on the line, data quality is everything. The price source has to be accurate, transparent, and tamper-resistant. Polymarket chose Pyth Pro.
Six of the world’s major financial institutions, now publishing on the Pyth Data Marketplace. The firms closest to price formation are extending their data directly to global markets. Read more here: pyth.network/blog/introduci…
LeverUP just leveled up its pricing infrastructure with Pyth Pro 🫡
Pyth Pro is live on LeverUp Three pieces, one stack: → @PythNetwork Pro, sub-second, institutional-grade feeds → @monad, the high-performance L1 that lets every millisecond of freshness reach settlement → LeverUp, high leverage with zero slippage, settling directly against
Pyth Pro delivers real-time price data via WebSocket. Polymarket samples it every second and publishes a live chart: the "price to beat." Traders see exactly where the market stands relative to their position, in real time, powered by Pyth data.
ICYMI: @CryptoEconomyEN covers the launch of Pyth Pro for AI Agents 🤖 3,000+ institutional price feeds. One integration. Built for agents operating in autonomous financial environments. crypto-economy.com/pyth-unveils-a…
💼 New Pyth Pro User: 360X 360X, the regulated digital securities trading venue, is now a Pyth Pro user—integrating real-time market data to power non-binding spot prices for stablecoin settlement on order entry.
🌐 NEW DATA PROVIDER: @Tradeweb Tradeweb, one of the world's largest fixed income market operators, is now publishing real-time ETF fair value data through the Pyth Data Marketplace.
Meet the six leading institutions now publishing on the Pyth Data Marketplace 🔮 The world's most established financial firms are choosing Pyth’s onchain infrastructure as a primary distribution channel.
Why trust humans when you can trust data? @Polymarket’s PLTR market is powered by Pyth.
Polymarket traders have been asking. The same Pyth data powering @Polymarket's commodities, US equity, and ETFs markets is now available to them. Built for traders. Priced for individuals 👇
Euronext FX The leading pan-European market infrastructure group, operating regulated exchanges across seven European markets. Publishing institutional FX and precious metals data through Pyth. euronextfx.com
The exchange data stack was built for a different era — gated access, opaque pricing, slow innovation. Pyth Pro X replaces that with a single price layer designed for global, always-on markets. The price of everything, everywhere.
Learn more about Polymarket’s integration with Pyth Pro here: pyth.network/blog/polymarke…
ICYMI: @Cointelegraph covers the launch of the Pyth Data Marketplace. Six major institutions. A new model for how market data is distributed. From closed networks to direct, onchain access. Read more ⬇️ cointelegraph.com/news/pyth-netw…
Read about Tradeweb joining the Pyth Network here: pyth.network/blog/tradeweb-…
Polymarket now runs traditional asset markets. Commodities, single-name US equities, major equity ETFs. Daily up/down and daily close contracts. The data source for all of them: Pyth.
Direct access to institutional datasets, now available onchain: FX benchmarks. Metals pricing. Crude swaps. ETF valuations. Reference datasets. Proprietary data, now programmable and globally accessible ⬇️ pyth.network/marketplace?ut…
Learn more about Euronext FX joining the Pyth Network: pyth.network/blog/euronext-…
Pyth Pro Launches on Cardano with Indigo Protocol as First User
Pyth Pro, a professional-grade pricing oracle, has launched on Cardano, marking a significant infrastructure upgrade for the network's DeFi ecosystem. **Key Details:** - Indigo Protocol, a leading synthetic asset platform on Cardano, is the first protocol to integrate Pyth Pro - The oracle provides fast, accurate, and manipulation-resistant price feeds used by professional trading systems and market makers - Pyth plans to expand support with more assets, feed types, and Cardano protocols The launch addresses a critical need for reliable pricing infrastructure in Cardano's DeFi sector, particularly for synthetic assets that require precise data feeds. Full announcement: [Pyth Network Blog](https://www.pyth.network/blog/pyth-pro-is-live-on-cardano-the-pricing-layer-cardano-defi-has-been-waiting-for?utm_source=organic_social&utm_medium=x_post&utm_campaign=2605_post&utm_term=pythprocardano)
Pyth Pro Launches on Cardano with Sub-100ms Price Feeds
Pyth Pro has officially launched on Cardano, bringing institutional-grade price infrastructure to the network's builders. **Key Features:** - Millisecond price updates with sub-100ms end-to-end latency - Broad cross-asset coverage - Audited, production-ready infrastructure The oracle network now provides the pricing layer for various DeFi applications including perpetuals, synthetics, lending protocols, real-world assets (RWAs), and equity-linked products on Cardano. This integration marks a significant infrastructure upgrade for Cardano's DeFi ecosystem, offering developers access to high-frequency price data previously unavailable on the network.
Cardano Closes Infrastructure Gap with Institutional-Grade Pricing Solution
Cardano, one of the industry's longest-running proof-of-stake ecosystems, has addressed a critical infrastructure gap. Despite years of careful DeFi development and a deep engineering culture, the network lacked high-performance, institutional-grade pricing infrastructure. **Key Development:** - The missing pricing infrastructure piece has now been implemented - This completes Cardano's institutional-grade DeFi stack - Positions the network to better serve institutional participants The addition strengthens Cardano's technical foundation.
Pyth Emerges as Challenger to Legacy Market Data Vendors

Pyth is transitioning from crypto middleware infrastructure into a legitimate competitor to traditional market data vendors. A new research note from Benchmark (StoneX) validates this shift, marking a turning point where the broader market is now describing Pyth in the same terms the project has been building toward. **Key Development:** - What began as an oracle network is now being recognized as a new model for market data distribution - Industry analysts are independently arriving at the same conclusions Pyth has been working toward The shift represents a fundamental break from the traditional oracle model, with Pyth positioning itself against established legacy providers rather than just serving as blockchain infrastructure. [Read the full analysis](https://www.pyth.network/blog/when-the-industry-starts-saying-it-pyth-is-becoming-a-new-model-for-market-data?utm_source=organic_social&utm_medium=x_post&utm_campaign=2605_post&utm_term=stonexreport)