# Tomlcollective (tomlcollective.com): agent-readiness 59/100, grade D

> Rank 446 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T11:40:42.252Z. Page: https://qomvia.com/site/tomlcollective-com  JSON: https://qomvia.com/api/score/tomlcollective-com

## Summary
Category: Professional services
{
  "known": false,
  "confidence": null,
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific client list and notable projects beyond general claims",
    "Detailed pricing structures or typical project costs",
    "Independent reviews or client testimonials validated externally",
    "Unique proprietary methodologies or technologies used",
    "Overall market position and competitive advantages"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 9/20
- Identity & policy: 2/12
- Agent-facing performance: 3/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] Organisation structured data
- [improvement] No machine-readable contact

## FAQ
Q: Is Tomlcollective readable by AI agents?
A: Tomlcollective (tomlcollective.com) scores 59 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 2 checks currently block agents outright.

Q: What stops agents from using tomlcollective.com?
A: The heaviest problems are: No API or feed to read; No MCP endpoint to call; No stated policy for automated access; Organisation structured data; 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 Tomlcollective agent-readiness score calculated?
A: Qomvia fetches public pages of tomlcollective.com 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 — category ranking: https://qomvia.com/leaderboard/professional-services
- Score another site: https://qomvia.com/