# Mindfield (mindfield.com): agent-readiness 43/100, grade D > Rank 808 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T05:50:16.305Z. Page: https://qomvia.com/site/mindfield-com JSON: https://qomvia.com/api/score/mindfield-com ## Summary { "known": false, "confidence": null, "summary": "I do not have specific knowledge about the website mindfield.com when identified as 'BrandPortal' and built with Go Daddy Website Builder, as described in the provided information.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "The primary business function of mindfield.com as 'BrandPortal'.", "Its target audience and specific services or products offered.", "Its market positioning or operational geography.", "Any unique features or competitive advantages.", "The history or background of the website under this identity." ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 21/24 - Content legibility: 11/26 - Discovery surface: 3/20 - 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] No API or feed to read - [blocker] No MCP endpoint to call - [improvement] Title, description and canonical URL ## FAQ Q: Is Mindfield readable by AI agents? A: Mindfield (mindfield.com) scores 43 out of 100 for agent readiness, grade D, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright. Q: What stops agents from using mindfield.com? A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call; Title, description and canonical URL. 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 Mindfield agent-readiness score calculated? A: Qomvia fetches public pages of mindfield.com 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 29.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/