# Fellowpartners (fellowpartners.com): agent-readiness 52/100, grade D

> Rank 660 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T03:10:45.400Z. Page: https://qomvia.com/site/fellowpartners-com  JSON: https://qomvia.com/api/score/fellowpartners-com

## Summary
Category: Banking and financial services
{
  "known": false,
  "confidence": "low",
  "summary": "Based on my pre-existing knowledge, I do not recognize fellowpartners.com. Therefore, I cannot provide a summary of what this site is or what it does.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific range of services offered",
    "Its primary target client base",
    "Its operational regions or countries",
    "Key competitive advantages or unique selling points",
    "Its market reputation or client testimonials"
  ],
  "alternatives": [],
  "business": "I cannot provide a specific business description for fellowpartners.com based on my pre-existing knowledge.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 11/26
- Discovery surface: 9/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [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
- [improvement] No declared language

## FAQ
Q: Is Fellowpartners readable by AI agents?
A: Fellowpartners (fellowpartners.com) scores 52 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 3 checks currently block agents outright.

Q: What stops agents from using fellowpartners.com?
A: The heaviest problems are: The site does not say who it is; No API or feed to read; No MCP endpoint to call; Title, description and canonical URL; No declared language. 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 Fellowpartners agent-readiness score calculated?
A: Qomvia fetches public pages of fellowpartners.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/financial-services
- Score another site: https://qomvia.com/