# Betamodus (betamodus.de): agent-readiness 68/100, grade C

> Rank 141 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T09:10:16.861Z. Page: https://qomvia.com/site/betamodus-de  JSON: https://qomvia.com/api/score/betamodus-de

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The actual scope and quality of services offered by Betamodus",
    "Their specific market position and reputation among clients",
    "Details about their client base and typical project outcomes",
    "Their operational history, size, and team expertise",
    "Real-world examples of their digital strategies and results"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 25/26
- Discovery surface: 12/20
- Identity & policy: 3/12
- Agent-facing performance: 3/8
- Agent protocols: 1/10
Failing checks:
- [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
- [improvement] Organisation structured data

## FAQ
Q: Is Betamodus readable by AI agents?
A: Betamodus (betamodus.de) scores 68 out of 100 for agent readiness, grade C, measured 2 days ago, on 28.09.2026. 1 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using betamodus.de?
A: The heaviest problems are: Server responds too slowly for agents; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; Organisation structured data. 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 Betamodus agent-readiness score calculated?
A: Qomvia fetches public pages of betamodus.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/