Pyth Indices Hit $2.88M ARR In October 📊
Treasury yields influence lending and risk across global finance, including DeFi lending markets like $AAVE . When I look at institutional interoperability narratives around $QNT , I see why access to reliable rates data could become increasingly important.
Pyth just made an interesting move into that market.
October introduced a constant-maturity U.S. Treasury curve with 14 feeds covering seven maturities from 2 to 30 years.
Each maturity provides a par yield and a discount factor, with updates available throughout European and U.S. market hours.
I think this is one of the most overlooked developments in Pyth's October report.
Treasury yields affect borrowing costs, bond valuations and financial risk models. As tokenized finance expands, applications need a current view of those rates without constantly tracking individual bonds and auction schedules.
Pyth is now offering that data alongside its existing equity, commodity and crypto coverage.
The commercial momentum is already visible.
Pyth Indices ended October at $2.88M ARR across 21 clients, while its catalog reached 77 stable feeds with another 31 coming soon.
The broader Pyth business reached $13.67M ARR, up 18.9% in one month.
And the DAO's 100% Rule means every dollar it receives from these products is now allocated toward PYTH Reserve accumulation.
My interest is in the expansion beyond crypto price feeds. Treasury curves, continuous equity indices and commodity benchmarks address financial-data needs that exist regardless of which blockchain is popular.
Pyth is building products for a much larger financial market, and its subscription revenue is beginning to reflect that ambition.
#Altcoin Season# #RWA
Treasury yields influence lending and risk across global finance, including DeFi lending markets like $AAVE . When I look at institutional interoperability narratives around $QNT , I see why access to reliable rates data could become increasingly important.
Pyth just made an interesting move into that market.
October introduced a constant-maturity U.S. Treasury curve with 14 feeds covering seven maturities from 2 to 30 years.
Each maturity provides a par yield and a discount factor, with updates available throughout European and U.S. market hours.
I think this is one of the most overlooked developments in Pyth's October report.
Treasury yields affect borrowing costs, bond valuations and financial risk models. As tokenized finance expands, applications need a current view of those rates without constantly tracking individual bonds and auction schedules.
Pyth is now offering that data alongside its existing equity, commodity and crypto coverage.
The commercial momentum is already visible.
Pyth Indices ended October at $2.88M ARR across 21 clients, while its catalog reached 77 stable feeds with another 31 coming soon.
The broader Pyth business reached $13.67M ARR, up 18.9% in one month.
And the DAO's 100% Rule means every dollar it receives from these products is now allocated toward PYTH Reserve accumulation.
My interest is in the expansion beyond crypto price feeds. Treasury curves, continuous equity indices and commodity benchmarks address financial-data needs that exist regardless of which blockchain is popular.
Pyth is building products for a much larger financial market, and its subscription revenue is beginning to reflect that ambition.
#Altcoin Season# #RWA
