# Docketqa (docketqa.com): agent-readiness 50/100, grade D

> Rank 2434 of 3060 on Qomvia (rubric v2.3.0). Last scanned 2026-11-03T04:33:44.276Z. Page: https://qomvia.com/site/docketqa-com  JSON: https://qomvia.com/api/score/docketqa-com

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about docketqa.com from my training data. Therefore, I cannot provide a summary of what this site is and what it does based on my own information.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "what their specific product features and capabilities are",
    "their pricing structure and subscription models",
    "customer testimonials or case studies",
    "their market position and competitive landscape",
    "the size and history of the company"
  ],
  "alternatives": [],
  "business": "I do not have enough information from my own knowledge to describe this business.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 13/26
- 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] No API or feed to read
- [blocker] No heading hierarchy
- [blocker] No MCP endpoint to call

## AI mentions and rivals
Named in 1 AI assistant answers.


## FAQ
Q: Is Docketqa readable by AI agents?
A: Docketqa (docketqa.com) scores 50 out of 100 for agent readiness, grade D, measured today, on 03.11.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright.

Q: What stops agents from using docketqa.com?
A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; No heading hierarchy; 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 Docketqa agent-readiness score calculated?
A: Qomvia fetches public pages of docketqa.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 03.11.2026.

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