# Andromed (andromed.ai): agent-readiness 63/100, grade C

> Rank 366 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-23T02:10:41.517Z. Page: https://qomvia.com/site/andromed-ai  JSON: https://qomvia.com/api/score/andromed-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The company's actual founding date and history.",
    "Its current market share or user base.",
    "Specific financial performance or funding details.",
    "Detailed information on its technology stack and unique selling propositions beyond marketing claims.",
    "Customer testimonials or case studies from independent sources."
  ],
  "alternatives": [],
  "business": "",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 5/20
- Identity & policy: 5/12
- Agent-facing performance: 6/8
- Agent protocols: 2/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## AI mentions and rivals
Named in 1 AI assistant answers.


## FAQ
Q: Is Andromed readable by AI agents?
A: Andromed (andromed.ai) scores 63 out of 100 for agent readiness, grade C, measured today, on 23.10.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using andromed.ai?
A: The heaviest problems are: No llms.txt; No API or feed to read; 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 Andromed agent-readiness score calculated?
A: Qomvia fetches public pages of andromed.ai 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 23.10.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software
- Score another site: https://qomvia.com/