Pyth is quietly becoming one of the most important pieces of internet-native finance....
While many projects focus on apps, Pyth focuses on the data those apps rely on. It sources prices directly from 125+ institutional publishers instead of depending on multiple downstream sources. Today, 710+ businesses across 114+ blockchains use Pyth data.
The scale is impressive:
• $3.25T+ cumulative volume secured
• $130B total volume powered in May 2026
• 60% of the onchain perpetuals market runs on Pyth
• 3,000+ price feeds across global markets
• Sub-100ms latency with 99.99% uptime
Pyth Pro gives institutions and exchanges access to multi-asset market data through a single integration. Pyth Terminal makes it easy to explore live feeds, compare pricing and inspect publishers, while the Data Marketplace helps institutions distribute proprietary financial data using internet-native infrastructure.
As sectors like RWAs, prediction markets, AI agents and multi-asset exchanges continue to grow, reliable first-party market data becomes even more important. That's why projects and ecosystems around $LINK , $ONDO , $HYPE , $INJ and $TAO are part of the broader conversation around financial infrastructure.
Pyth isn't just delivering price feeds. It's building the market-data layer designed for modern financial markets.
While many projects focus on apps, Pyth focuses on the data those apps rely on. It sources prices directly from 125+ institutional publishers instead of depending on multiple downstream sources. Today, 710+ businesses across 114+ blockchains use Pyth data.
The scale is impressive:
• $3.25T+ cumulative volume secured
• $130B total volume powered in May 2026
• 60% of the onchain perpetuals market runs on Pyth
• 3,000+ price feeds across global markets
• Sub-100ms latency with 99.99% uptime
Pyth Pro gives institutions and exchanges access to multi-asset market data through a single integration. Pyth Terminal makes it easy to explore live feeds, compare pricing and inspect publishers, while the Data Marketplace helps institutions distribute proprietary financial data using internet-native infrastructure.
As sectors like RWAs, prediction markets, AI agents and multi-asset exchanges continue to grow, reliable first-party market data becomes even more important. That's why projects and ecosystems around $LINK , $ONDO , $HYPE , $INJ and $TAO are part of the broader conversation around financial infrastructure.
Pyth isn't just delivering price feeds. It's building the market-data layer designed for modern financial markets.