# Flowtester (flowtester.ai): agent-readiness 51/100, grade D > Rank 752 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-06T23:50:14.586Z. Page: https://qomvia.com/site/flowtester-ai JSON: https://qomvia.com/api/score/flowtester-ai ## Summary Category: Software and SaaS { "known": false, "confidence": "low", "summary": "I do not have specific pre-existing information about Flowtester.ai in my knowledge base.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific product features and capabilities", "Target customer segments and typical use cases", "Market position and competitive landscape", "Company size, founding date, and funding status", "Customer testimonials, reviews, and overall market reputation" ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 19/26 - Discovery surface: 5/20 - Identity & policy: 0/12 - Agent-facing performance: 3/8 - 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] Server responds too slowly for agents - [blocker] No MCP endpoint to call ## AI mentions and rivals Named in 1 AI assistant answers. ## FAQ Q: Is Flowtester readable by AI agents? A: Flowtester (flowtester.ai) scores 51 out of 100 for agent readiness, grade D, measured 4 days ago, on 06.10.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright. Q: What stops agents from using flowtester.ai? A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; Server responds too slowly for agents; No MCP endpoint to call. 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 Flowtester agent-readiness score calculated? A: Qomvia fetches public pages of flowtester.ai 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 4 days ago, on 06.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software - Score another site: https://qomvia.com/