Black vs Bourdon

A black-box evaluation of how AI-generated tests find functional bugs in live APIs.

Bourdon is a recognition-first AI memory runtime with a federated agentic memory shared across AI agents. Recognition first. Hydration second. Archive descent third.

About Black

A black-box evaluation of how AI-generated tests find functional bugs in live APIs. The harder question is whether those tests find bugs. Each system receives only a JSON schema and one valid sample payload, then must generate API test cases that expose failures in a live reference API. The evaluation uses APIEval-20 v1.0, a black-box benchmark contributed by KushoAI. Because KushoAI is also one of the evaluated systems, this report includes the methodology, workflow definitions, repeated-run setup, and robustness checks so readers can understand where the performance difference comes from.

About Bourdon

Bourdon is a recognition-first AI memory runtime with a federated agentic memory shared across AI agents. Recognition first. Hydration second. Archive descent third. Bourdon works the way human memory does: it recognizes you instantly, starts responding, and pulls the details up in the background. Claude, Codex, Cursor, Copilot, and Devin write to and read from one shared, federated memory, so a fact learned by one is recognized by the rest, across accounts and machines.