# Pendium (pendium.ai): agent-readiness 70/100, grade C

> Rank 133 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-09T04:50:14.759Z. Page: https://qomvia.com/site/pendium-ai  JSON: https://qomvia.com/api/score/pendium-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific, independently verifiable information about pendium.ai in my knowledge base. Therefore, I cannot provide a detailed summary of its operations.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The exact suite of services offered by Pendium AI.",
    "The typical customer profile for Pendium AI.",
    "The market share or reputation of Pendium AI.",
    "Specific case studies or success metrics.",
    "Its operational geography or primary markets."
  ],
  "alternatives": [],
  "business": "I do not have enough specific knowledge about this entity to provide a concise business description.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 23/26
- Discovery surface: 9/20
- Identity & policy: 5/12
- Agent-facing performance: 6/8
- Agent protocols: 3/10
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 1 AI assistant answers.


## FAQ
Q: Is Pendium readable by AI agents?
A: Pendium (pendium.ai) scores 70 out of 100 for agent readiness, grade C, measured yesterday, on 09.10.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using pendium.ai?
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 Pendium agent-readiness score calculated?
A: Qomvia fetches public pages of pendium.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 yesterday, on 09.10.2026.

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