Three layers, three jobs. Apps, APIs, and databases all claim to solve commercial-use clearance, but they solve different parts of it. Pick the wrong layer and you pay for the wrong thing.
Apps are for humans asking questions. An AI model license checker app answers "can I ship this" in seconds, on your phone, in a meeting. Best for founders and small teams doing triage. The limitation: the answer lives in the app, not in your systems.
APIs are for machines making decisions. A commercial use clearance SaaS API returns structured verdicts your code can act on: block this model, flag that threshold, require review here. Best when model selection is part of a pipeline, like a platform team approving models for hundreds of engineers. Overkill for a team shipping one product on one model. I will die on this hill: small teams do not need an API for this.
Databases are for truth. An open source AI license database search tool, or an open source model license comparison database, is the reference everything else should cite. Best for diligence, audits, and anyone who needs the receipts. The limitation: someone has to keep it current, and "current" is the entire product. A stale database is worse than none, because it gives you confidence you should not have.
A license compliance audit SaaS usually bundles all three: database underneath, API in the middle, app on top. That bundle is worth it when compliance is a recurring workflow with multiple stakeholders. It is a waste when you need one answer about one model.
So the real question is not which tool is best. It is which job you are hiring for: a quick answer, an automated gate, or a citable record. An AI model commercial rights lookup tool can be any of the three, so check which one you are actually buying before you pay. I run the database layer at localaitools.fyi: 200 models compared in plain language, plus commercial-use clearance reports when you need a human-verified record.