Model verification runs
Completed endpoint verification checks counted in the public evidence layer.
Verify model identity before you pay
Compare provider behavior against official model fingerprints, and check compatibility and latency before routing traffic to an LLM API or gateway.
A live signal of how many third-party endpoints have been checked.
Completed endpoint verification checks counted in the public evidence layer.
New model verification runs observed in the past month.
Endpoints that did not behave like the claimed model.
After the diagnosis
Anonymous diagnosis provides a behavior signal, not a decision for you. Sign in to run transparent tasks—or your own real task—across 2–3 models and inspect the differences answer by answer.
Track whether official models behave differently over time across OpenAI, Azure, Anthropic, and Bedrock.
OpenAI and Azure GPT targets, plus Anthropic and Bedrock Claude targets, are tracked separately so provider routing changes do not pollute official-model baselines.
Open drift monitor →Why verify?
LLM APIs and gateways make integration easy, but they do not guarantee that an endpoint behaves like the model it claims to serve.
Recently completed endpoint verification runs.