# Webaloha (webaloha.co): agent-readiness 78/100, grade B > Rank 23 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-20T04:40:38.344Z. Page: https://qomvia.com/site/webaloha-co JSON: https://qomvia.com/api/score/webaloha-co ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific pre-existing knowledge about webaloha.co from my training data. Therefore, I cannot provide a summary of what it is or does based on my own information.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific services and solutions offered", "Client base and project examples", "Company history and team structure", "Market reputation and customer satisfaction", "Pricing models and typical project scopes" ], "alternatives": [], "business": "I do not have specific pre-existing knowledge about webaloha.co to describe its business.", "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 24/26 - Discovery surface: 12/20 - Identity & policy: 5/12 - Agent-facing performance: 8/8 - Agent protocols: 5/10 Failing checks: - [blocker] No MCP endpoint to call - [improvement] No stated policy for automated access - [improvement] No machine-readable contact - [improvement] Content carries a date - [improvement] Machine-readable data surface ## Add-on packs - E-commerce & product feeds: 15/100 (not part of the public score) ## AI mentions and rivals Named in 1 AI assistant answers. ## FAQ Q: Is Webaloha readable by AI agents? A: Webaloha (webaloha.co) scores 78 out of 100 for agent readiness, grade B, measured 3 days ago, on 20.10.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright. Q: What stops agents from using webaloha.co? A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; Content carries a date; Machine-readable data surface. 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 Webaloha agent-readiness score calculated? A: Qomvia fetches public pages of webaloha.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 (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 3 days ago, on 20.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/