Free access, open licensing, and redistribution are different
A website may be free to browse while prohibiting automated collection or commercial redistribution. A downloadable dataset may be open but require attribution or share-alike terms. A public-domain or CC0 dataset can be an excellent bootstrap source, yet still lack the freshness, breadth, or service guarantees a customer product expects.
Read the license and terms for the exact source and use case. Record the source URL, license name, attribution requirement, allowed transformations, redistribution rights, and review date. If rights are unclear, stop. Scraping a retail site or copying another API’s responses is not a sustainable substitute for permission.
Price the operational layer, not only the feed
A paid API may provide support, predictable limits, commercial rights, broader coverage, and better freshness, but these vary by contract. Free data may require more normalization, monitoring, correction, and gap handling. Compare total cost: engineering time, incident response, data review, source replacement, customer support, and the risk of losing access.
Stats API currently uses CC0 OpenFootball data as a transparent bootstrap source. Customer requests are designed to read normalized MySQL and Redis data rather than waiting on an upstream provider. Broader or more time-sensitive capabilities should be added only with explicit commercial redistribution rights and validated freshness—not by making the landing page promise more than the source can deliver.
| Dimension | Question to answer | Evidence |
|---|---|---|
| Rights | Can this data be used and redistributed? | License and contract |
| Freshness | How quickly are changes reflected? | Measured ingestion history |
| Reliability | What happens during an outage? | SLA, monitoring, fallback |
| Schema | Will identifiers and fields stay stable? | Versioned contract |
A handoff your agent can actually follow
Treat an AI agent as a planner and transformer, not as the database. Give it a narrow task, the exact resources it may call, the response fields it may quote, and a stop condition for missing data. Keep bearer credentials in the server-side tool implementation rather than in the prompt, transcript, browser, or generated source file.
The handoff below is deliberately operational. It asks for evidence before prose, makes uncertainty visible, and keeps the model inside the current football API contract. Adapt the output format to your product, but preserve the rules about stable IDs, UTC timestamps, freshness, and error handling.
Compare sources on licensing, redistribution, attribution, coverage, freshness, schema stability, support, and operations.
Do not call a source commercial-safe without reading its terms.
Separate free access from open licensing.
State which evidence is known and which requires legal review.What the human reviewer still owns
Automation can verify schemas and repeatable checks, but publication and product decisions still need a person. Review the selected competition, season, team, and match IDs; confirm that the time window matches the user’s question; and read the final answer against the retrieved JSON. A fluent explanation is not evidence that the underlying call was correct.
For time-sensitive football AI, record when the source was ingested and when the agent retrieved it. If the workflow cannot establish those timestamps, qualify the result instead of presenting it as current. The same rule applies to unavailable capabilities: do not quietly substitute fixtures or results for lineups, player statistics, odds, expected goals, injuries, or live events.
- Confirm every quoted fact appears in the retained API response.
- Exercise the empty, 401, 404, 429, and 503 paths before launch.
- Keep model interpretation separate from source facts in logs and user-facing output.
- Have a qualified person review data rights for the intended product and territory; technical accessibility is not permission to resell.
Continue with the contract, not a guess
Start with the public contract and coverage ledger, then move into implementation only when the capability you need is marked available. The related guide gives your next agent-first pattern without requiring an undocumented endpoint.