Hey Product Hunt! 👋 I just launched Agent Readiness Toolkit, a free, open-source Python CLI for auditing how machine-readable websites and APIs are. There's a lot of discussion about making websites ready for AI agents. But I wanted to answer a simpler question: What can we actually measure today? So I built a tool that checks observable technical signals, including structured data, sitemaps, robots.txt, page metadata and OpenAPI specifications. It gives you: A readiness score backed by technical evidence Clear explanations of missing or invalid signals Practical recommendations to fix issues Before-and-after comparisons CI quality gates to catch regressions No API key. No LLM required. Just a Python CLI. Before releasing v0.1.0, I also tested it against captured evidence from three real websites: Python.org, DjangoProject.com and Mozilla.org. That process helped uncover two issues in the scoring logic, which we fixed before launch. One important distinction: This tool doesn't promise better AI search rankings or guarantee that agents can use your website. It measures technical signals that we can actually inspect and validate. I decided to open-source it under the MIT license because I think these checks should be transparent and reproducible. GitHub: https://github.com/MrRex168/agen... I'd love feedback from developers, API builders and technical SEO practitioners. What other machine-readability checks would make this genuinely useful in your workflow?

Agent Readiness Toolkit

Audit how machine-readable your website or API is

Audit how machine-readable your website or API is