api-endpoint-design

REST API endpoint design requires standardized response schemas with clear HTTP status codes and error messages. This Skill provides a unified response format template and parameter validation rules that enforce consistency across endpoints, reducing integration errors and development time.

Parameter validation in Flask endpoints ensures data integrity by checking filters, dates, and metrics before processing. This Skill covers validation rules and pytest testing patterns, including cURL examples for quick endpoint testing and unit test best practices.

Flask supports building multiple endpoints with shared patterns. This Skill catalogs 11 core endpoints for a vehicle insurance platform—including health checks, KPI data, and policy mapping—demonstrating how to apply consistent validation, response schemas, and error handling across all endpoints.

Debugging REST APIs requires systematic testing and response validation. This Skill offers cURL examples for endpoint testing and outlines unit testing strategies with pytest to verify correct HTTP status codes, error messages, and response payloads across all endpoints.

Adding new endpoints efficiently requires following established patterns for validation, response structure, and error handling. This Skill provides the exact structure, parameter validation rules, and testing methods needed to implement new endpoints correctly and ensure backend-frontend integration readiness.