# Boundify (boundify.co): agent-readiness 43/100, grade D

> Rank 808 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T12:50:54.387Z. Page: https://qomvia.com/site/boundify-co  JSON: https://qomvia.com/api/score/boundify-co

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about boundify.co or the entity Boundify.Ai from my training data. Therefore, I cannot provide a summary of what this site is or what it specifically does.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "What specific AI solutions Boundify.Ai provides.",
    "Its primary target audience or industry focus.",
    "Its business model and pricing structure.",
    "The geographic regions in which it operates.",
    "Its market position and competitive landscape."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 21/24
- Content legibility: 11/26
- Discovery surface: 3/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
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] Title, description and canonical URL

## FAQ
Q: Is Boundify readable by AI agents?
A: Boundify (boundify.co) scores 43 out of 100 for agent readiness, grade D, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright.

Q: What stops agents from using boundify.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; Title, description and canonical URL. 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 Boundify agent-readiness score calculated?
A: Qomvia fetches public pages of boundify.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 yesterday, on 29.09.2026.

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