
VeriSpec – AI-Readiness for API Specs
Audit API specs for AI-readiness
VeriSpec – AI-Readiness for API Specs launched on June 18, 2026 with 2 votes. The site was not reachable when checked in September 2026.
What it does
VeriSpec scans your OpenAPI and AsyncAPI specifications and documentation to evaluate how ready they are for AI agents and real-world integration. We check schemas, examples, authentication, error handling, rate limits, security, and more—over 50 best practices in total. You get a clear AI-readiness score, prioritized issues, and actionable fixes to improve clarity, reliability, and trust. Build APIs that are easier for humans and AI to understand and use.
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API AI Readiness ScorecardJun 2026 · github.com · ▲21We previously open-sourced a rubric for assessing APIs for agent-readiness (carefully designed by some colleagues who are deeply involved with the OpenAPI initiative). We hosted a nice web app for scoring an API according to this rubric (a mix of deterministic and LLM-based assessment), and learned people were hacking it into their CI/CD pipelines for regression testing and longitudinal tracking. So we just released a nice CLI to make that easier, with a decent free tier.


Spec27Apr 2026 · spec27.ai · ▲34Hi HN! We’re a team of ML validation specialists and we’ve been building /Spec27, a tool for testing whether AI agents still do their job safely and reliably as models, prompts, tools, and surrounding systems change. We started working on this because a lot of current LLM evaluation work seems aimed at scoring general model behavior, while many teams are deploying systems that have a specific mission to fulfill. Many of the tools also assume you have full access to the agent stack and traces so you can place SDKs and Gateways, but a lot of agents are being created on vendor platforms…


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