NYSE Adds Another Institutional Product To Pyth 📊
The infrastructure thesis familiar to $MNT and the software-compute economy around $RENDER both make one thing clear: applications become more capable when developers can access specialized services without rebuilding everything themselves.
Pyth's selection by NYSE adds another dimension to that idea.
NYSE BQT provides proprietary U.S. equity data from five exchange markets through the Pyth Data Marketplace.
I think the distinction between this and Pyth Pro's existing business model is especially interesting.
Pyth Pro aggregates prices contributed by financial market participants and delivers those aggregate feeds through a subscription model without exchange-fee pass-throughs.
NYSE BQT is different. Clients license the dataset directly with NYSE under its market-data policies, and Pyth provides the distribution channel.
That gives Pyth two complementary ways to serve applications with different requirements.
One developer might need aggregated prices across numerous asset classes. Another might specifically need the official market data produced by NYSE.
Pyth can support both requirements through its broader product offering.
October's commercial figures already show $13.67M ARR and 332 paying accounts.
I wouldn't assume the NYSE agreement immediately generates a particular amount of new revenue. What interests me is the additional category of data Pyth can now help institutions distribute.
A business that can serve more financial-data requirements becomes more relevant to a wider set of customers.
And NYSE selecting Pyth is a strong endorsement of that direction.
#Altcoin Season# #RWA
The infrastructure thesis familiar to $MNT and the software-compute economy around $RENDER both make one thing clear: applications become more capable when developers can access specialized services without rebuilding everything themselves.
Pyth's selection by NYSE adds another dimension to that idea.
NYSE BQT provides proprietary U.S. equity data from five exchange markets through the Pyth Data Marketplace.
I think the distinction between this and Pyth Pro's existing business model is especially interesting.
Pyth Pro aggregates prices contributed by financial market participants and delivers those aggregate feeds through a subscription model without exchange-fee pass-throughs.
NYSE BQT is different. Clients license the dataset directly with NYSE under its market-data policies, and Pyth provides the distribution channel.
That gives Pyth two complementary ways to serve applications with different requirements.
One developer might need aggregated prices across numerous asset classes. Another might specifically need the official market data produced by NYSE.
Pyth can support both requirements through its broader product offering.
October's commercial figures already show $13.67M ARR and 332 paying accounts.
I wouldn't assume the NYSE agreement immediately generates a particular amount of new revenue. What interests me is the additional category of data Pyth can now help institutions distribute.
A business that can serve more financial-data requirements becomes more relevant to a wider set of customers.
And NYSE selecting Pyth is a strong endorsement of that direction.
#Altcoin Season# #RWA
