Pyth Network Reaches 1000+ Price Feeds Milestone
Pyth Network Reaches 1000+ Price Feeds Milestone
馃敭 1000 Feeds and Counting

Pyth Network has achieved a significant milestone with over 1,000 real-time price feeds now live, including 570+ U.S. equity feeds. The network is creating a universal price layer that delivers institutional-grade market data directly from top financial institutions.
- 100+ blockchain integrations enabling seamless access to U.S. equity data
- New Community Council launching to reward quality contributions
- Focus on removing geographical and infrastructural barriers to market access
The platform aims to democratize financial market data access, making high-quality price information freely available across DeFi and TradFi sectors. This expansion represents a step toward creating a more accessible and borderless financial ecosystem.
BTCfi and @Coredao_Org are Pyth pilled 馃拪 The top two lending protocols, @colend_xyz and @SumerMoney, are leveraging Pyth鈥檚 real-time data and running their own scheduler to ensure fresh and accurate prices at all times.
Pyth is everywhere 馃憖 Douro Labs CEO and Pyth Network contributor @mdomcahill is taking the main stage at @blockworksDAS at 10:30 AM EDT to pull you into the future of finance. Join us at the conference or stay tuned for the X livestream!
It鈥檚 Supercharged Sunday! Pyth has reached a major milestone: 1,000+ real-time price feeds are live, including 570+ U.S. equity feeds. Pyth is bringing market data on-chain and breaking barriers across DeFi, TradFi, and beyond. Here's why this matters 馃У馃憞
Pyth is everywhere 馃敭 ICYMI, @mdomcahill鈥檚 full keynote from @blockworksDAS NYC is now on YouTube: youtu.be/PWXrVB5CJFg
Pyth is rewriting the market data economy. Any price. Any place. Anytime.
馃敭 Pyth Launches Pro X
Pyth Network has launched **Pyth Pro X**, an institutional-grade market data service designed specifically for exchanges. **Key Features:** - 3,000+ price feeds covering crypto, equities, FX, and indices - 96%+ accuracy versus NBBO (National Best Bid and Offer) - Sub-100ms end-to-end latency - 24/5 equity coverage for 50+ U.S. stocks - Single subscription model with no exchange fees or redistribution barriers **Technical Approach:** Pyth Pro X sources first-party data directly from institutional publishers including market makers, exchanges, and trading firms. The service maintains 99th percentile deviation within 20 basis points of primary markets. **Adoption:** Major exchanges already using the platform include Coinbase, Crypto.com, Bitget, BitMEX, and LMAX. The service replaces traditional exchange data infrastructure that relied on gated access and opaque pricing, offering instead a unified price layer for global, always-on markets. [Learn more about Pyth Pro X](https://www.pyth.network/blog/introducing-pyth-pro-x-institutional-market-data-built-for-exchanges)
Early Partners Report Positive Results with Pyth Pro X Deployment

Early adopters of **Pyth Pro X** are experiencing notable improvements in their operations. Partners who have integrated the oracle solution are reporting measurable differences in performance. **Key Points:** - Early deployment partners are seeing tangible results - Pyth Pro X represents the latest iteration of the oracle network - Real-world implementation is showing promise This follows previous partner feature launches in December 2025, indicating continued development momentum for the Pyth oracle network. The positive early feedback suggests the Pro X upgrade is delivering on its intended improvements for data feeds and oracle functionality.
馃敡 Pyth Pro X Tackles Exchange Market Data Fragmentation
**Pyth Pro X** addresses a critical infrastructure gap in modern exchanges. While exchanges have evolved to support RWA and equity perpetuals, cross-margin frameworks, and 24/7 liquidation engines, their market data infrastructure remains outdated. Current systems rely on: - Fragmented vendor relationships - Asset-specific data feeds - Lengthy negotiations (months) to add single trading symbols Pyth Pro X offers a unified solution to streamline market data infrastructure, building on Pyth's existing network of over 100 institutional data providers.
Pyth Network Expands to Tempo Chain with 3000+ Price Feeds

Pyth Network has integrated with Tempo, a new blockchain platform, bringing institutional-grade market data to its builders. **Key Features:** - Access to 3000+ price feeds across multiple asset classes - Coverage includes US equities (24/5), foreign exchange, commodities, and crypto - Institutional-grade data quality for developers Builders on Tempo can now leverage Pyth's oracle infrastructure for their applications. The integration expands Pyth's reach as a first-party oracle network. Learn more: [Pyth Price Feeds](https://pyth.network/price-feeds)
Pyth Network Launches First Real-Time 24/7 Oil Price Index
The Pyth Network has introduced the **Pyth 24/7 Oil Index**, marking a significant shift in how oil prices are discovered and reported. **Key developments:** - Traditional oil pricing relies on trading windows designed decades ago, creating delays in price discovery - Geopolitical events now drive oil price volatility in real-time, but pricing mechanisms haven't kept pace - The new index provides **continuously updating oil prices** around the clock **Why it matters:** Oil is the world's most important commodity, yet its pricing infrastructure has remained largely unchanged for decades. The Pyth 24/7 Oil Index addresses this gap by offering real-time price data that reflects current market conditions and geopolitical developments as they happen. Douro Labs CEO and Pyth contributor Mike Cahill emphasized the significance: "Until now, the world's most important commodity has been priced on a schedule designed decades ago. The Pyth 24/7 Oil Index changes that." [Read the full analysis on Finextra](https://www.finextra.com/the-long-read/1603/how-does-geopolitics-impact-oil-price-discovery) [View the official announcement](https://www.businesswire.com/news/home/20260317697899/en/Pyth-Network-Announces-Launch-of-First-Continuously-Updating-Oil-Price-Index)