ln-643-api-contract-auditor

To audit API contracts for layer leakage, you can analyze method signatures and DTO usage to detect when HTTP-specific types or domain entities leak into service layers, returning structured compliance and quality scores.

Enforcing DTO usage in microservices involves checking service boundaries to ensure data transfer objects encapsulate data properly, preventing raw database entities from being directly exposed through APIs.

You can check for inconsistent error contracts by applying language-specific detection patterns to analyze error handling strategies across Python and TypeScript service boundaries, ensuring uniform consistency.

Yes, you can detect redundant method overloads by auditing the architecture at the service boundary level, identifying overlapping method signatures, and returning an implementation score for the analyzed contracts.

No specific dependencies or frameworks are required, as the auditing process applies language-specific detection patterns directly to the codebase to evaluate service boundaries and layer separation.

Auditing service boundaries yields four structured scores: compliance, completeness, quality, and implementation, which collectively quantify the architectural integrity of the API contracts.