# Opendialog (opendialog.de): agent-readiness 43/100, grade D

> Rank 808 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T14:10:16.249Z. Page: https://qomvia.com/site/opendialog-de  JSON: https://qomvia.com/api/score/opendialog-de

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-trained information about opendialog.de to provide a summary of its business or operations. My knowledge base does not contain distinct, retrievable data for this particular domain.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific products or services offered by Opendialog GmbH",
    "Its primary target audience and geographical market",
    "Its core business model and value proposition",
    "Its competitive landscape and key rivals",
    "Any unique selling propositions or market position"
  ],
  "alternatives": [],
  "business": "I do not have specific information about what this company does, for whom, or where.",
  "competitors": []
}

## Score by group
- Machine access: 19/24
- Content legibility: 12/26
- 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 heading hierarchy
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access

## FAQ
Q: Is Opendialog readable by AI agents?
A: Opendialog (opendialog.de) scores 43 out of 100 for agent readiness, grade D, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright.

Q: What stops agents from using opendialog.de?
A: The heaviest problems are: No llms.txt; The site does not say who it is; No heading hierarchy; No MCP endpoint to call; No stated policy for automated access. 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 Opendialog agent-readiness score calculated?
A: Qomvia fetches public pages of opendialog.de 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.

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