# Mavity (mavity.co): agent-readiness 60/100, grade C

> Rank 399 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T01:50:42.663Z. Page: https://qomvia.com/site/mavity-co  JSON: https://qomvia.com/api/score/mavity-co

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about mavity.co in my knowledge base. Therefore, I cannot provide details about its operations or offerings from my own knowledge.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific features and functionalities offered by the platform",
    "Its primary target market and customer segments",
    "Its geographical operational focus",
    "Its competitive landscape and market positioning",
    "Its current business performance and financial health"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 22/26
- Discovery surface: 5/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access

## FAQ
Q: Is Mavity readable by AI agents?
A: Mavity (mavity.co) scores 60 out of 100 for agent readiness, grade C, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright.

Q: What stops agents from using mavity.co?
A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; 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 Mavity agent-readiness score calculated?
A: Qomvia fetches public pages of mavity.co 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 — category ranking: https://qomvia.com/leaderboard/saas-software
- Score another site: https://qomvia.com/