# Orbator (orbator.io): agent-readiness 68/100, grade C

> Rank 185 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T22:00:14.534Z. Page: https://qomvia.com/site/orbator-io  JSON: https://qomvia.com/api/score/orbator-io

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific prior knowledge about orbator.io from my training data. Therefore, I cannot provide a summary based on my own information.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Its actual market adoption and user base",
    "Independent reviews or reputation among businesses",
    "The methodology and transparency of its AI Recommendation Index",
    "Specific details on its pricing tiers and service effectiveness",
    "Its long-term business viability and competitive landscape"
  ],
  "alternatives": [],
  "business": "I do not have specific prior knowledge about the business model, operations, or target market of orbator.io.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 10/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] No Content Signals

## AI mentions and rivals
Named in 3 AI assistant answers.


## FAQ
Q: Is Orbator readable by AI agents?
A: Orbator (orbator.io) scores 68 out of 100 for agent readiness, grade C, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using orbator.io?
A: The heaviest problems are: No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals. 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 Orbator agent-readiness score calculated?
A: Qomvia fetches public pages of orbator.io 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 08.10.2026.

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