# Airparis (airparis.com): agent-readiness 49/100, grade D

> Rank 717 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T19:10:41.908Z. Page: https://qomvia.com/site/airparis-com  JSON: https://qomvia.com/api/score/airparis-com

## Summary

{
  "known": false,
  "confidence": "high",
  "summary": "I do not have specific information about airparis.com in my knowledge base. It does not appear as a prominent active business from my training data.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The historical use or previous business associated with this domain.",
    "Any current or past services, products, or content offered under this domain.",
    "The target audience or market it aimed to serve.",
    "Its operational geography or specific location of activity.",
    "Any notable strengths, weaknesses, or market position."
  ],
  "alternatives": [],
  "business": "I do not have information to describe the business associated with this domain.",
  "competitors": []
}

## Score by group
- Machine access: 21/24
- Content legibility: 20/26
- Discovery surface: 0/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No discoverable sitemap
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call

## FAQ
Q: Is Airparis readable by AI agents?
A: Airparis (airparis.com) scores 49 out of 100 for agent readiness, grade D, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright.

Q: What stops agents from using airparis.com?
A: The heaviest problems are: No discoverable sitemap; No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.

Q: How is the Airparis agent-readiness score calculated?
A: Qomvia fetches public pages of airparis.com as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100.

Q: How often is this score updated?
A: Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from yesterday, on 29.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard
- Score another site: https://qomvia.com/