Polymarket expands Pyth integration to Palantir (PLTR) trading
Polymarket has added Palantir Technologies (PLTR) to its traditional asset markets, powered by Pyth's institutional data infrastructure. This follows the platform's recent integration of Pyth Pro for commodities, US equities, and ETFs.
Key developments:
- PLTR market joins existing Pyth-powered contracts for crude oil, gold, silver, and major equity ETFs
- Real-time price data delivered via WebSocket, sampled every second
- Pyth's data has secured over $2.7 trillion in transaction volume across markets
Recent Pyth ecosystem growth:
- Six major financial institutions now publishing on Pyth Data Marketplace, including Euronext FX, Fidelity, and Tradeweb
- 3,000+ institutional price feeds available through Pyth Pro
- New Pyth Pro X product launched for exchanges, powering Coinbase, Crypto.com, and others
The integration reinforces Polymarket's reliance on institutional-grade data infrastructure for its expanding traditional asset prediction markets.
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
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.
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 🧵
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 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…
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.
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…
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-…
OTC Markets Group Brings US OTC Equity Data to Pyth Network
**OTC Markets Group**, the operator of OTCQX, OTCQB, and Pink markets—the largest US venue for over-the-counter securities—is now publishing OTC equity market data through Pyth Network. This integration expands Pyth's traditional finance data offerings beyond the overnight US equities added by Blue Ocean ATS in September 2025. - OTC Markets Group provides critical pricing data for securities not listed on major exchanges - The partnership brings institutional-grade OTC market data on-chain - Follows Pyth's growing trend of integrating traditional equity market data providers This move enables decentralized applications to access real-time OTC equity pricing data, bridging another segment of traditional markets with blockchain infrastructure.
Pyth Data Marketplace Shifts Control from Vendors to Data Producers
The Pyth Data Marketplace is restructuring how financial data flows through markets. **The Legacy Problem** - Traditional model gave vendors control over institutional price data - Institutions creating price discovery had minimal say in data distribution **The New Approach** Pyth's marketplace introduces three core principles: - **Ownership**: Data producers retain control - **Transparency**: Clear visibility into data usage - **Global reach**: Accessible infrastructure This shift moves away from legacy architectures that constrain modern market infrastructure, enabling price discovery aligned with real-time settlement. [Read Pyth's SEC comment letter](https://www.sec.gov/files/douro-labs-comment-letter-rule-603-vendor-display-rule-022026.pdf)
🏛️ Institutions Take Control
The Data Marketplace introduces a direct distribution layer that fundamentally changes how institutional data flows to markets. **Key Features:** - Direct publishing without intermediary repackaging - Full attribution maintained throughout distribution - Complete control over access permissions and pricing - Institutions retain ownership of their data This marks a departure from legacy models where vendors concentrated control, leaving data-generating institutions with minimal say over usage and distribution. The marketplace prioritizes ownership, transparency, and global accessibility—creating a more straightforward path from institutional publishers to market consumers.
Polymarket Integrates Pyth Oracle for Crude Oil Prediction Market

Polymarket has launched a crude oil prediction market powered by Pyth's oracle network. The integration brings real-time price data verification to the platform's commodities trading markets. **Key Details:** - Polymarket's new crude oil market uses Pyth for price feeds - Follows the principle of "don't trust, verify" for data accuracy - Expands Polymarket's offerings beyond crypto and political predictions This marks another adoption of Pyth's oracle infrastructure in DeFi applications, following previous integrations with platforms like Euler Finance vaults.