# Ninebrackets (ninebrackets.de): agent-readiness 69/100, grade C

> Rank 125 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T13:20:44.384Z. Page: https://qomvia.com/site/ninebrackets-de  JSON: https://qomvia.com/api/score/ninebrackets-de

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific client portfolio beyond named examples",
    "Detailed pricing structures for their services",
    "Company size and number of employees",
    "Specific case studies or success metrics",
    "Founding date or company history"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 12/20
- Identity & policy: 3/12
- Agent-facing performance: 8/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] Organisation structured data
- [improvement] No Content Signals

## Add-on packs
- E-commerce & product feeds: 15/100 (not part of the public score)

## FAQ
Q: Is Ninebrackets readable by AI agents?
A: Ninebrackets (ninebrackets.de) scores 69 out of 100 for agent readiness, grade C, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using ninebrackets.de?
A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; Organisation structured data; No Content Signals. 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 Ninebrackets agent-readiness score calculated?
A: Qomvia fetches public pages of ninebrackets.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. E-commerce & product feeds checks are scored separately (15/100) and do not affect the public score or rank.

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/