# Alphapanda (alphapanda.com): agent-readiness 63/100, grade C

> Rank 284 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T09:20:17.277Z. Page: https://qomvia.com/site/alphapanda-com  JSON: https://qomvia.com/api/score/alphapanda-com

## Summary
Category: Professional services
{
  "known": false,
  "confidence": "low",
  "summary": "",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "I do not have specific pre-existing knowledge about alphapanda.com or the company Alphapanda.",
    "I cannot confidently provide details about its specific services, target market, or operational areas.",
    "I cannot identify its unique selling points or common alternatives based on my existing knowledge."
  ],
  "alternatives": [],
  "business": "",
  "competitors": []
}

## Score by group
- Machine access: 21/24
- Content legibility: 25/26
- Discovery surface: 8/20
- Identity & policy: 5/12
- Agent-facing performance: 3/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] Server responds too slowly for agents
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## FAQ
Q: Is Alphapanda readable by AI agents?
A: Alphapanda (alphapanda.com) scores 63 out of 100 for agent readiness, grade C, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using alphapanda.com?
A: The heaviest problems are: No llms.txt; Server responds too slowly for agents; No MCP endpoint to call; No stated policy for automated access; 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 Alphapanda agent-readiness score calculated?
A: Qomvia fetches public pages of alphapanda.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 today, on 30.09.2026.

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