# Dropsoul (dropsoul.ch): agent-readiness 61/100, grade C

> Rank 352 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-27T20:10:16.225Z. Page: https://qomvia.com/site/dropsoul-ch  JSON: https://qomvia.com/api/score/dropsoul-ch

## Summary

{
  "known": false,
  "confidence": "high",
  "summary": "I do not have specific pre-existing knowledge about dropsoul.ch as a distinct entity. My training data does not contain detailed information about this particular website.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific product catalog and inventory details",
    "Customer service quality and return policies",
    "Market position and sales volume",
    "Supplier relationships and product sourcing",
    "User experience and website performance"
  ],
  "alternatives": [],
  "business": "I do not have sufficient information to describe the business model or operations of dropsoul.ch.",
  "competitors": []
}

## Score by group
- Machine access: 23/24
- Content legibility: 22/26
- Discovery surface: 10/20
- Identity & policy: 2/12
- Agent-facing performance: 0/8
- Agent protocols: 4/10
Failing checks:
- [blocker] The site does not say who it is
- [blocker] No API or feed to read
- [blocker] Server responds too slowly for agents
- [blocker] No MCP endpoint to call
- [improvement] No machine-readable contact

## Add-on packs
- E-commerce & product feeds: 63/100 (not part of the public score)

## FAQ
Q: Is Dropsoul readable by AI agents?
A: Dropsoul (dropsoul.ch) scores 61 out of 100 for agent readiness, grade C, measured 3 days ago, on 27.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright.

Q: What stops agents from using dropsoul.ch?
A: The heaviest problems are: The site does not say who it is; No API or feed to read; Server responds too slowly for agents; No MCP endpoint to call; 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 Dropsoul agent-readiness score calculated?
A: Qomvia fetches public pages of dropsoul.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 (63/100) 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 3 days ago, on 27.09.2026.

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