rest-graphql-debug

To debug REST API failures, isolate the problematic layer from connectivity to data semantics by checking HTTP status codes, authentication, payload formatting, and response parsing. Use a structured playbook to reproduce reproducible steps and validate headers.

Diagnosing GraphQL API errors involves running a basic health check and iteratively testing the endpoint using curl and Python requests. This workflow validates token handling, schema checks, and response shapes to guide fixes for data semantic issues.

Troubleshoot API authentication and payload formatting issues by applying an isolated debugging workflow across HTTP status and content-type scenarios. Execute curl-based and Python-based requests to reproduce the failure condition and validate headers.

Yes, you can use Python requests and curl alongside web extraction of vendor docs to test vendor APIs. This approach validates endpoint behavior against documented schemas, ensuring response parsing and token handling match expected specifications.

API requests timeout or return unexpected response shapes due to connectivity issues, incorrect payload formatting, or data semantic mismatches. Isolate the failure by executing terminal requests and validating the response parsing against schema checks.

No dependencies are required to isolate API connectivity issues. The workflow uses standard terminal tools for curl requests and execute_code for Python requests, requiring only clear reproducible steps and failure conditions to guide repairs.