Levo.ai solves the documentation drift problem by generating API specifications from actual production behavior rather than manual documentation efforts. Using eBPF-based instrumentation, the platform captures HTTP traffic flowing through services without code changes or proxy deployment, analyzing request patterns, response schemas, authentication flows, and error codes to build comprehensive OpenAPI specifications that reflect what the API actually does — not what someone wrote it should do.
The automated API discovery feature maps all endpoints across microservice architectures, identifying undocumented APIs, deprecated endpoints still receiving traffic, and shadow APIs that teams may not know exist. Generated specifications include live metadata such as actual response times, error rates, and usage patterns. Levo.ai can automatically generate Postman collections and interactive documentation from the discovered specifications, keeping all artifacts synchronized with the live API behavior.
Beyond documentation, Levo.ai provides automated API security testing against the discovered endpoints, checking for common vulnerabilities like broken authentication, excessive data exposure, and injection flaws. The platform supports enterprise deployment with role-based access and integration with CI/CD pipelines. For organizations managing large API surfaces where keeping documentation current is an ongoing struggle, Levo.ai provides the automated approach that ensures documentation accuracy by grounding it in observed production behavior.