Machine Readable Docs
Copy one of the context blocks below and paste it into any AI tool. It gives the AI enough knowledge of the Sportmonks API to help you build - no installation, no setup.
Works with Claude, ChatGPT, Gemini, Mistral, Copilot, Cursor, and any other LLM.
Which block should I use?
Minimal
~400 tokens
Quick questions, one-off lookups, tight context budgets
Full
~2,000 tokens
Building something real - endpoints, includes, filters, and common IDs all included
OpenAPI spec
~22,000 tokens
Tool configuration, code generation, or Custom GPT Actions
Minimal context
Sportmonks Football API v3
Base URL: https://api.sportmonks.com/v3/football
Auth: ?api_token=YOUR_TOKEN (query parameter on every request)
Key endpoints:
GET /players/search/{query}
GET /teams/search/{query}
GET /leagues/search/{query}
GET /fixtures/{id}
GET /fixtures/date/{date}
GET /livescores/inplay
GET /squads/teams/{team_id}
GET /standings/live/leagues/{league_id}
GET /topscorers/seasons/{season_id}
Includes: semicolon-separated (e.g. include=participants;scores;league;state)
Filters: key:value syntax (e.g. filters=fixtureLeagues:8)
Pagination: ?page=1&per_page=25
Docs: https://docs.sportmonks.com/footballFull context
OpenAPI specification
The full OpenAPI spec for the Sportmonks Football API v3. Import it into your AI tool, code editor, or use it to configure a Custom GPT Action.
At ~22,000 tokens this is large. Use the minimal or full context blocks above for most tasks - reserve the spec for tool configuration or code generation.
llms.txt
Sportmonks publishes a machine-readable documentation index following the llms.txt standard:
AI tools and crawlers can fetch this to get a structured overview of all Sportmonks APIs - Football, Motorsport, Odds, Core, and Widgets. Paste the URL into any AI tool to give it a broad orientation before diving into a specific API.
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