The Real Reason Financial APIs Are Losing Their Moat
Armando J. Perez-Carreno talks with Tommy Cotter from Benzinga about how financial media and market-data APIs actually work, why prediction markets are changing trading behavior, and how large historical news datasets become an edge for model builders.
Topics Covered
Show Notes
Armando J. Perez-Carreno talks with Tommy Cotter from Benzinga about what is really happening behind the scenes in financial media, market-data products, and API businesses that serve everyone from hobbyist builders to large institutions. Using Benzinga as a lens, they unpack how news distribution works, what customers actually pay for, and why access alone is no longer enough to protect a moat.
They also get into prediction markets, arbitrage behavior, and the value of massive historical news archives for teams training trading models. If you have ever wondered how financial-data businesses stay relevant while AI makes integration easier and faster, this episode gives a sharp look at the pressure points.
Topics Covered
- How financial media companies turn data and news into API products
- Why prediction markets are creating new opportunities for builders and traders
- What makes historical market-news data valuable for model training
- Why easy integrations can weaken traditional API moats
- How fintech teams should think about distribution and defensibility