Financial Modeling Prep
A financial data API provider for developers, offering standardized, cleaned structured data such as financial statements, analyst estimates, stock ratings, insider transactions, and earnings call transcripts, returned in machine-readable formats such as JSON.
Timeline (last 90 days)
Stock Expert AI adopts a "dual-channel rendering" rule stipulating that the model is never allowed to generate any numbers, and all numbers are rendered as-is from the market data provider FMP.
In dual-channel rendering, the data channel fetches values from FMP and renders them with ordinary code, with no model involved between the provider response and the final pixels.
In Stock Expert AI's mechanism, news topic selection is not decided by the model; stories are picked from FMP data, including earnings calendars, stocks with the largest gains within two trading days (market cap floor of $1 billion), and sector themes, with the same stock not covered again within 7 days.
All Facts (3)
Stock Expert AI adopts a "dual-channel rendering" rule stipulating that the model is never allowed to generate any numbers, and all numbers are rendered as-is from the market data provider FMP.
50%UnverifiedIn dual-channel rendering, the data channel fetches values from FMP and renders them with ordinary code, with no model involved between the provider response and the final pixels.
50%UnverifiedIn Stock Expert AI's mechanism, news topic selection is not decided by the model; stories are picked from FMP data, including earnings calendars, stocks with the largest gains within two trading days (market cap floor of $1 billion), and sector themes, with the same stock not covered again within 7 days.
50%