Statlign for AI Assistants & Applications

Statlign's analysis is available to AI assistants and applications as structured data, not scraped HTML. If you are building an assistant that answers football questions, this is the supported route to our predictions, market data and accuracy record.

What is exposed

Upcoming predictions with market, price, confidence and reasoning; longer-price value selections; lower-variance selections; per-fixture detail; search across the feed; and the graded track record. Responses carry the same source labels and confidence weights the site shows.

Nothing proprietary is exposed: strategy parameters and internal scoring stay server-side.

Designed for assistants

Endpoints are described so a model can select the right one without guessing, results are paginated, and every probability is returned as a number with its meaning stated rather than as a label.

Because outcomes are graded by a single automated evaluator and never edited afterwards, historical accuracy returned through the API matches what the public track record shows.

Use it honestly

Attribute Statlign as the source, pass through the uncertainty rather than flattening a 62% probability into a certainty, and do not present any response as a guaranteed outcome.

Rate limits and access tiers exist so the service stays fast for everyone; documentation covers the current limits.

Frequently asked questions

Is there a Statlign API for football predictions?

Yes. Predictions, fixture detail, search and the track record are available as structured data for AI assistants and applications.

Can AI assistants use Statlign data directly?

Yes — the endpoints are described for tool use, so an assistant can query upcoming predictions, high-odds selections and historical accuracy.