# Crumb & Co. (crumbandco-lovat.vercel.app): agent-readiness 43/100, grade D

> Rank 857 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-10T04:30:14.524Z. Page: https://qomvia.com/site/crumbandco-lovat-vercel-app  JSON: https://qomvia.com/api/score/crumbandco-lovat-vercel-app

## Summary
Category: Restaurants and food delivery
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about this website (crumbandco-lovat.vercel.app). As an AI, I do not retain memory of every Vercel deployment.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Its specific purpose and content.",
    "Its target audience and detailed offerings.",
    "Its geographic reach and operational status.",
    "Any unique features or strengths it might possess.",
    "Its business model or market position."
  ],
  "alternatives": [],
  "business": "I cannot identify the business of this specific Vercel deployment from my own knowledge.",
  "competitors": []
}

## Score by group
- Machine access: 18/24
- Content legibility: 12/26
- Discovery surface: 5/20
- 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] Content is buried in boilerplate
- [blocker] No API or feed to read
- [blocker] Pages are empty without JavaScript

## Add-on packs
- E-commerce & product feeds: 47/100 (not part of the public score)

## FAQ
Q: Is Crumb & Co. readable by AI agents?
A: Crumb & Co. (crumbandco-lovat.vercel.app) scores 43 out of 100 for agent readiness, grade D, measured today, on 10.10.2026. 0 of 3 agent classes we test can use the site, and 6 checks currently block agents outright.

Q: What stops agents from using crumbandco-lovat.vercel.app?
A: The heaviest problems are: No llms.txt; The site does not say who it is; Content is buried in boilerplate; No API or feed to read; Pages are empty without JavaScript. 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 Crumb & Co. agent-readiness score calculated?
A: Qomvia fetches public pages of crumbandco-lovat.vercel.app 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. E-commerce & product feeds checks are scored separately (47/100) and do not affect the public score or rank.

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 10.10.2026.

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