# Paz (paz.ai): agent-readiness 84/100, grade B > Rank 9 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-06T20:00:38.626Z. Page: https://qomvia.com/site/paz-ai JSON: https://qomvia.com/api/score/paz-ai ## Summary Category: Software and SaaS { "known": false, "confidence": "low", "summary": "I do not have specific, pre-existing knowledge about paz.ai within my training data beyond the identification details provided. Therefore, I cannot provide details about its specific operations or market standing from my own knowledge.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific product features and unique selling propositions", "Customer base and market share", "Business model and pricing structure", "Technological architecture or underlying AI models used", "Company history and funding status" ], "alternatives": [], "business": "I do not have sufficient independent knowledge to describe this business.", "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 23/26 - Discovery surface: 19/20 - Identity & policy: 5/12 - Agent-facing performance: 8/8 - Agent protocols: 5/10 Failing checks: - [improvement] No stated policy for automated access - [improvement] No machine-readable contact - [improvement] No Content Signals - [improvement] Content carries a date - [polish] Language and market are declared ## AI mentions and rivals Named in 2 AI assistant answers. ## Named for - Which platforms help e-commerce businesses become visible and actionable for AI shopping agents? https://qomvia.com/answers/which-platforms-help-e-commerce-businesses-become-visible-and-actionable-for-ai ## FAQ Q: Is Paz readable by AI agents? A: Paz (paz.ai) scores 84 out of 100 for agent readiness, grade B, measured 4 days ago, on 06.10.2026. 0 of 3 agent classes we test can use the site, and 0 checks currently block agents outright. Q: What stops agents from using paz.ai? A: The heaviest problems are: No stated policy for automated access; No machine-readable contact; No Content Signals; Content carries a date; Language and market are declared. 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 Paz agent-readiness score calculated? A: Qomvia fetches public pages of paz.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/