Agent-readable docs
OpenAPI and llms.txt reduce guessed parameters and hallucinated fields.
Ground football agents and AI applications in cached, structured match data. Stable IDs and a cache-first architecture keep your application insulated from the upstream provider.
Language models are good at transforming and explaining data, but they should not invent fixtures or identifiers. Stats API gives agents a narrow REST tool surface grounded in stored football records.
The OpenAPI contract and llms.txt file tell a coding or tool-calling agent exactly which endpoints and fields exist today, including explicit limits on planned data.
OpenAPI and llms.txt reduce guessed parameters and hallucinated fields.
Tool calls can pass stable resource IDs between steps and sessions.
Cache and source timestamps help an agent qualify time-sensitive answers.