# Webpulser (webpulser.com): agent-readiness 65/100, grade C > Rank 230 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T00:20:16.195Z. Page: https://qomvia.com/site/webpulser-com JSON: https://qomvia.com/api/score/webpulser-com ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific information about Webpulser.com in my knowledge base.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific services provided by Webpulser.com", "Their client base and reputation", "Their precise market position", "Operational details and business model", "Their financial performance" ], "alternatives": [], "business": "I do not have information about what this company does.", "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 23/26 - Discovery surface: 5/20 - Identity & policy: 5/12 - Agent-facing performance: 8/8 - Agent protocols: 0/10 Failing checks: - [blocker] No llms.txt - [blocker] No API or feed to read - [blocker] No MCP endpoint to call - [improvement] No stated policy for automated access - [improvement] No machine-readable contact ## Add-on packs - E-commerce & product feeds: 15/100 (not part of the public score) ## FAQ Q: Is Webpulser readable by AI agents? A: Webpulser (webpulser.com) scores 65 out of 100 for agent readiness, grade C, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright. Q: What stops agents from using webpulser.com? A: The heaviest problems are: No llms.txt; No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact. 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 Webpulser agent-readiness score calculated? A: Qomvia fetches public pages of webpulser.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. 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 yesterday, on 29.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/