# Smoonr (smoonr.com): agent-readiness 61/100, grade C > Rank 352 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T06:40:15.879Z. Page: https://qomvia.com/site/smoonr-com JSON: https://qomvia.com/api/score/smoonr-com ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific, pre-existing knowledge about smoonr.com from my training data. Therefore, I cannot provide a detailed summary of its operations or market position.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific services and products offered by smoonr.com", "Its primary target audience and market segmentation", "The geographic regions in which it primarily operates", "Its market reputation, unique selling propositions, or competitive advantages", "Its business model and operational scale" ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 20/26 - Discovery surface: 8/20 - Identity & policy: 5/12 - Agent-facing performance: 3/8 - Agent protocols: 1/10 Failing checks: - [blocker] No llms.txt - [blocker] Server responds too slowly for agents - [blocker] No MCP endpoint to call - [improvement] Title, description and canonical URL - [improvement] No stated policy for automated access ## FAQ Q: Is Smoonr readable by AI agents? A: Smoonr (smoonr.com) scores 61 out of 100 for agent readiness, grade C, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright. Q: What stops agents from using smoonr.com? A: The heaviest problems are: No llms.txt; Server responds too slowly for agents; No MCP endpoint to call; Title, description and canonical URL; No stated policy for automated access. 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 Smoonr agent-readiness score calculated? A: Qomvia fetches public pages of smoonr.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 today, on 30.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/