# Wair (wair.ai): agent-readiness 72/100, grade C

> Rank 92 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-06T22:30:14.682Z. Page: https://qomvia.com/site/wair-ai  JSON: https://qomvia.com/api/score/wair-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific, detailed information about Wair.ai in my knowledge base from my training data.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "What Wair.ai specifically sells or provides as products/services",
    "Who its primary target audience is",
    "Its operational geography or main markets",
    "Its specific strengths or competitive advantages",
    "A list of its direct competitors in the market"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 25/26
- Discovery surface: 12/20
- Identity & policy: 2/12
- Agent-facing performance: 8/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] Organisation structured data
- [improvement] No machine-readable contact
- [improvement] No Content Signals

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


## FAQ
Q: Is Wair readable by AI agents?
A: Wair (wair.ai) scores 72 out of 100 for agent readiness, grade C, measured 4 days ago, on 06.10.2026. 1 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using wair.ai?
A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; Organisation structured data; 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 Wair agent-readiness score calculated?
A: Qomvia fetches public pages of wair.ai 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 4 days ago, on 06.10.2026.

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