# Meinspielzeug (meinspielzeug.ch): agent-readiness 31/100, grade F

> Rank 886 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T06:00:19.131Z. Page: https://qomvia.com/site/meinspielzeug-ch  JSON: https://qomvia.com/api/score/meinspielzeug-ch

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about the website meinspielzeug.ch in my knowledge base.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Its specific business model and primary purpose.",
    "The types of products or services it offers.",
    "Its target customer base and demographic.",
    "The geographical regions in which it primarily operates.",
    "Its market position relative to competitors."
  ],
  "alternatives": [],
  "business": "I do not have sufficient information to describe what this company does, for whom and where.",
  "competitors": []
}

## Score by group
- Machine access: 11/24
- Content legibility: 7/26
- Discovery surface: 5/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] Content is buried in boilerplate
- [blocker] Bot protection blocks declared agents
- [blocker] No API or feed to read

## FAQ
Q: Is Meinspielzeug readable by AI agents?
A: Meinspielzeug (meinspielzeug.ch) scores 31 out of 100 for agent readiness, grade F, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 8 checks currently block agents outright.

Q: What stops agents from using meinspielzeug.ch?
A: The heaviest problems are: No llms.txt; The site does not say who it is; Content is buried in boilerplate; Bot protection blocks declared agents; No API or feed to read. 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 Meinspielzeug agent-readiness score calculated?
A: Qomvia fetches public pages of meinspielzeug.ch 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 2 days ago, on 28.09.2026.

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