# Standardpractice (standardpractice.co): agent-readiness 37/100, grade F > Rank 851 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T22:00:43.570Z. Page: https://qomvia.com/site/standardpractice-co JSON: https://qomvia.com/api/score/standardpractice-co ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific information about standardpractice.co in my knowledge base. Therefore, I cannot provide details on its operations or purpose.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific services and projects offered by the company", "Their target clientele and market positioning", "Their operational history and key achievements", "Any notable industry recognition or unique selling propositions", "Their primary geographic areas of operation" ], "alternatives": [], "business": "I do not have sufficient information to describe this company's business.", "competitors": [] } ## Score by group - Machine access: 18/24 - Content legibility: 6/26 - Discovery surface: 5/20 - Identity & policy: 0/12 - Agent-facing performance: 8/8 - Agent protocols: 0/10 Failing checks: - [blocker] No llms.txt - [blocker] The site does not say who it is - [blocker] Content is buried in boilerplate - [blocker] No API or feed to read - [blocker] No heading hierarchy ## Add-on packs - E-commerce & product feeds: 23/100 (not part of the public score) ## FAQ Q: Is Standardpractice readable by AI agents? A: Standardpractice (standardpractice.co) scores 37 out of 100 for agent readiness, grade F, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 7 checks currently block agents outright. Q: What stops agents from using standardpractice.co? A: The heaviest problems are: No llms.txt; The site does not say who it is; Content is buried in boilerplate; No API or feed to read; No heading hierarchy. 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 Standardpractice agent-readiness score calculated? A: Qomvia fetches public pages of standardpractice.co 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. E-commerce & product feeds checks are scored separately (23/100) and do not affect the public score or rank. 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 29.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/