# Dereva (dereva.ch): agent-readiness 55/100, grade D

> Rank 552 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T14:30:16.903Z. Page: https://qomvia.com/site/dereva-ch  JSON: https://qomvia.com/api/score/dereva-ch

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about the website dereva.ch beyond what is stated in the prompt. Therefore, I cannot provide a summary of what this site is or what it does from my own knowledge.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific services or products dereva.ch offers.",
    "Its primary target audience.",
    "Its operational geography beyond the .ch domain and stated hosting location.",
    "Its business model and revenue streams.",
    "Its market position or unique selling propositions."
  ],
  "alternatives": [],
  "business": "I cannot provide a specific business description as I do not have pre-existing knowledge of this company's operations.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 19/26
- Discovery surface: 6/20
- Identity & policy: 0/12
- Agent-facing performance: 5/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## FAQ
Q: Is Dereva readable by AI agents?
A: Dereva (dereva.ch) scores 55 out of 100 for agent readiness, grade D, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using dereva.ch?
A: The heaviest problems are: No llms.txt; The site does not say who it is; 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 Dereva agent-readiness score calculated?
A: Qomvia fetches public pages of dereva.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 today, on 30.09.2026.

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