# Klarent (klarent.ai): agent-readiness 67/100, grade C

> Rank 217 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-06T23:40:39.967Z. Page: https://qomvia.com/site/klarent-ai  JSON: https://qomvia.com/api/score/klarent-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific products and services offered by Klarent AI.",
    "Its primary target audience and market positioning.",
    "Its unique selling propositions or competitive advantages.",
    "Its operational geography and business model.",
    "Its direct competitors in the market."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 20/26
- Discovery surface: 12/20
- Identity & policy: 5/12
- Agent-facing performance: 6/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] No Content Signals
- [improvement] Nothing says when the content changed

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


## FAQ
Q: Is Klarent readable by AI agents?
A: Klarent (klarent.ai) scores 67 out of 100 for agent readiness, grade C, measured 4 days ago, on 06.10.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using klarent.ai?
A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals; Nothing says when the content changed. 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 Klarent agent-readiness score calculated?
A: Qomvia fetches public pages of klarent.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/