# Medani (medani.at): agent-readiness 61/100, grade C

> Rank 352 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T14:00:46.618Z. Page: https://qomvia.com/site/medani-at  JSON: https://qomvia.com/api/score/medani-at

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not possess specific pre-existing knowledge about the website medani.at. Therefore, I cannot describe what this site is or what it does based on my own memory.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The exact services or products medani.at provides.",
    "Its primary target audience or customer base.",
    "Its operational geography and market focus.",
    "Its market position or unique selling propositions.",
    "Its business model or company history."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 21/24
- Content legibility: 22/26
- Discovery surface: 8/20
- Identity & policy: 5/12
- Agent-facing performance: 3/8
- Agent protocols: 2/10
Failing checks:
- [blocker] No llms.txt
- [blocker] Server responds too slowly for agents
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## Add-on packs
- E-commerce & product feeds: 15/100 (not part of the public score)

## FAQ
Q: Is Medani readable by AI agents?
A: Medani (medani.at) scores 61 out of 100 for agent readiness, grade C, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using medani.at?
A: The heaviest problems are: No llms.txt; Server responds too slowly for agents; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact. 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 Medani agent-readiness score calculated?
A: Qomvia fetches public pages of medani.at 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. E-commerce & product feeds checks are scored separately (15/100) and do not affect the public score or rank.

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/