# Leopard (leopard.digital): agent-readiness 49/100, grade D

> Rank 717 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T12:00:16.776Z. Page: https://qomvia.com/site/leopard-digital  JSON: https://qomvia.com/api/score/leopard-digital

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific knowledge about leopard.digital as an active business or service. Based on the provided context, it appears to be a domain name listed for sale.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The past or current use of this domain name.",
    "The specific business, services, or content it might host if active.",
    "Its target audience or market.",
    "Its operational history or reputation.",
    "Its ownership or management details."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 21/24
- Content legibility: 20/26
- Discovery surface: 0/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No discoverable sitemap
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call

## FAQ
Q: Is Leopard readable by AI agents?
A: Leopard (leopard.digital) scores 49 out of 100 for agent readiness, grade D, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright.

Q: What stops agents from using leopard.digital?
A: The heaviest problems are: No discoverable sitemap; No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call. 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 Leopard agent-readiness score calculated?
A: Qomvia fetches public pages of leopard.digital 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 2 days ago, on 28.09.2026.

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