Pyth Network is quietly rebuilding how financial markets get their data.
Most market data is downstream. Pyth goes upstream—sourcing prices directly from the institutions and traders creating them.
The scale is already significant:
710+ businesses using Pyth data
$3.25T+ cumulative volume secured
60% of the onchain perpetuals market
125+ institutional publishers
114+ blockchains receiving feeds
3,000+ price feeds across global markets
Pyth Pro takes this infrastructure institutional, offering 2,200+ instruments across multiple asset classes through one integration, with sub-100ms end-to-end latency and 99.99% uptime guarantees.
That matters for normal users because better underlying data can support more reliable pricing, collateral valuation, liquidations, settlement and 24/7 financial products.
Pyth Terminal makes the same ecosystem easier to inspect, letting users explore live feeds, compare pricing against benchmarks and see where data comes from.
Then there are two additional layers: Pyth Data Marketplace for distributing proprietary institutional datasets, and Pyth Indices for always-on pricing across individual assets and baskets.
Pyth Pro for AI Agents extends this further into autonomous finance, where machines need reliable, structured financial data to make decisions.
Commercial adoption is also accelerating. Pyth Pro crossed $6M ARR within months of launch, subscription ARR grew 109% QoQ, and Pyth reported three consecutive months above $1M in gross new ARR.
For context, $LINK overlaps with institutional data infrastructure, $ONDO with RWAs, $HYPE with perpetual markets, and $TAO with the emerging AI-agent narrative.
The bigger question isn't simply who provides data onchain. It's who becomes the market-data layer for financial markets that never close.
Only information not financial advice
#PythNetwork #MarketData #DeFi
Most market data is downstream. Pyth goes upstream—sourcing prices directly from the institutions and traders creating them.
The scale is already significant:
710+ businesses using Pyth data
$3.25T+ cumulative volume secured
60% of the onchain perpetuals market
125+ institutional publishers
114+ blockchains receiving feeds
3,000+ price feeds across global markets
Pyth Pro takes this infrastructure institutional, offering 2,200+ instruments across multiple asset classes through one integration, with sub-100ms end-to-end latency and 99.99% uptime guarantees.
That matters for normal users because better underlying data can support more reliable pricing, collateral valuation, liquidations, settlement and 24/7 financial products.
Pyth Terminal makes the same ecosystem easier to inspect, letting users explore live feeds, compare pricing against benchmarks and see where data comes from.
Then there are two additional layers: Pyth Data Marketplace for distributing proprietary institutional datasets, and Pyth Indices for always-on pricing across individual assets and baskets.
Pyth Pro for AI Agents extends this further into autonomous finance, where machines need reliable, structured financial data to make decisions.
Commercial adoption is also accelerating. Pyth Pro crossed $6M ARR within months of launch, subscription ARR grew 109% QoQ, and Pyth reported three consecutive months above $1M in gross new ARR.
For context, $LINK overlaps with institutional data infrastructure, $ONDO with RWAs, $HYPE with perpetual markets, and $TAO with the emerging AI-agent narrative.
The bigger question isn't simply who provides data onchain. It's who becomes the market-data layer for financial markets that never close.
Only information not financial advice
#PythNetwork #MarketData #DeFi
