# Malocherkind (malocherkind.de): agent-readiness 64/100, grade C > Rank 252 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T12:30:45.278Z. Page: https://qomvia.com/site/malocherkind-de JSON: https://qomvia.com/api/score/malocherkind-de ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific information about malocherkind.de in my knowledge base. Therefore, I cannot provide details on its operations or business model from my pre-existing data.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "What specific services malocherkind.de offers.", "Who their primary target audience is.", "Their operational geographic reach.", "Their unique selling propositions or strengths.", "Their direct competitors in the market." ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 19/26 - Discovery surface: 8/20 - Identity & policy: 5/12 - Agent-facing performance: 8/8 - Agent protocols: 0/10 Failing checks: - [blocker] No llms.txt - [blocker] No MCP endpoint to call - [improvement] No stated policy for automated access - [improvement] No machine-readable contact - [improvement] Title, description and canonical URL ## Add-on packs - E-commerce & product feeds: 15/100 (not part of the public score) ## FAQ Q: Is Malocherkind readable by AI agents? A: Malocherkind (malocherkind.de) scores 64 out of 100 for agent readiness, grade C, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright. Q: What stops agents from using malocherkind.de? A: The heaviest problems are: No llms.txt; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; 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 Malocherkind agent-readiness score calculated? A: Qomvia fetches public pages of malocherkind.de 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 (15/100) 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 2 days ago, on 28.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/