The post introduces two-go, an API testing tool that automates request creation and verification. It highlights its AI layer, which enables AI agents to draft test suites, explain failures, and review responses for potential bugs.
A test of 30 LLM APIs found a 42.7% failure rate across 150 calls, but actual infrastructure failures (rate limiting) were only 4%. This low infrastructure failure rate aligns with industry reports, validating current AI engineering efforts.
This guide explores how to use OpenClaw skills to build a comprehensive API testing and monitoring setup that catches subtle issues before they impact customers. It details five layers of API quality — endpoint, contract, load testing, health checks, and alerting — utilizing the OpenClaw Bazaar skills directory to generate testing infrastructure.
This guide explains API testing, a type of software testing that verifies whether an Application Programming Interface (API) works as expected. It details why it matters and how it involves sending requests to API endpoints to validate responses based on functionality, reliability, performance, and security.