# Loop (loop.at): agent-readiness 24/100, grade F

> Rank 920 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T08:10:16.826Z. Page: https://qomvia.com/site/loop-at  JSON: https://qomvia.com/api/score/loop-at

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about loop.at in my knowledge base. Therefore, I cannot provide a detailed summary of its purpose or operations.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific services or products offered by loop.at",
    "Its target audience and market position",
    "Its operational history and reputation",
    "Its business model and revenue streams",
    "Key competitors in its field"
  ],
  "alternatives": [],
  "business": "I do not have sufficient information to describe the business of loop.at.",
  "competitors": []
}

## Score by group
- Machine access: 16/24
- Content legibility: 3/26
- Discovery surface: 0/20
- Identity & policy: 0/12
- Agent-facing performance: 5/8
- Agent protocols: 0/10
Failing checks:
- [blocker] Page metadata is incomplete
- [blocker] No discoverable sitemap
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] Content is buried in boilerplate

## FAQ
Q: Is Loop readable by AI agents?
A: Loop (loop.at) scores 24 out of 100 for agent readiness, grade F, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 8 checks currently block agents outright.

Q: What stops agents from using loop.at?
A: The heaviest problems are: Page metadata is incomplete; No discoverable sitemap; No llms.txt; The site does not say who it is; Content is buried in boilerplate. 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 Loop agent-readiness score calculated?
A: Qomvia fetches public pages of loop.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.

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/