# Shopping-trolley (shopping-trolley.ch): agent-readiness 66/100, grade C

> Rank 198 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T06:50:43.735Z. Page: https://qomvia.com/site/shopping-trolley-ch  JSON: https://qomvia.com/api/score/shopping-trolley-ch

## Summary

{
  "known": false,
  "confidence": null,
  "summary": "I do not have specific knowledge about the website shopping-trolley.ch from my training data.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific products or services offered by this website",
    "Its primary target audience",
    "Its operational geography and business model",
    "Its unique selling propositions"
  ],
  "alternatives": [],
  "business": "Unknown",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 20/26
- Discovery surface: 13/20
- Identity & policy: 5/12
- Agent-facing performance: 0/8
- Agent protocols: 4/10
Failing checks:
- [blocker] Server responds too slowly for agents
- [blocker] No MCP endpoint to call
- [improvement] No machine-readable contact
- [improvement] Title, description and canonical URL
- [improvement] Organisation structured data

## Add-on packs
- E-commerce & product feeds: 59/100 (not part of the public score)

## FAQ
Q: Is Shopping-trolley readable by AI agents?
A: Shopping-trolley (shopping-trolley.ch) scores 66 out of 100 for agent readiness, grade C, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using shopping-trolley.ch?
A: The heaviest problems are: Server responds too slowly for agents; No MCP endpoint to call; No machine-readable contact; Title, description and canonical URL; Organisation structured data. 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 Shopping-trolley agent-readiness score calculated?
A: Qomvia fetches public pages of shopping-trolley.ch 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 (59/100) 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 2 days ago, on 28.09.2026.

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