# Prometheus (prometheus.io): agent-readiness 54/100, grade D > Rank 685 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-23T01:10:15.399Z. Page: https://qomvia.com/site/prometheus-io JSON: https://qomvia.com/api/score/prometheus-io ## Summary Category: Software and SaaS { "known": true, "confidence": "high", "summary": "Prometheus is a widely adopted open-source monitoring system and time-series database. It is designed to collect and store metrics from various sources, making them queryable and enabling alerting based on defined rules.", "offerings": [ "Time-series database", "Multi-dimensional data model", "PromQL query language", "Alerting functionality", "Service discovery integrations", "Client libraries and exporters" ], "audience": "Developers, operations engineers, SREs, and system administrators, particularly those working with cloud-native applications and microservices.", "geography": "Global (as an open-source project)", "strengths": [ "Open-source and free to use", "Powerful and flexible query language (PromQL)", "Strong community support and ecosystem", "Excellent for monitoring dynamic, cloud-native environments", "Reliable and scalable for metric collection" ], "unknowns": [ "Specific financial backing beyond CNCF governance", "Exact number of active installations worldwide", "Detailed internal project roadmap beyond public discussions", "Official commercial support channels (as it's community-driven)", "Exact market share compared to commercial solutions" ], "alternatives": [ "datadoghq.com", "newrelic.com", "grafana.com", "influxdata.com", "elastic.co" ], "business": "Prometheus is an open-source project under the Cloud Native Computing Foundation (CNCF) that provides a monitoring and alerting toolkit for cloud-native applications and infrastructure globally.", "competitors": [ "datadoghq.com", "newrelic.com", "dynatrace.com", "elastic.co", "influxdata.com", "appdynamics.com", "grafana.com" ] } ## Score by group - Machine access: 24/24 - Content legibility: 19/26 - Discovery surface: 3/20 - Identity & policy: 0/12 - Agent-facing performance: 8/8 - 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] No MCP endpoint to call - [improvement] No stated policy for automated access ## AI mentions and rivals Named in 1 AI assistant answers. - datadoghq.com: 74/100 https://qomvia.com/site/datadoghq-com - newrelic.com: not measured - dynatrace.com: 76/100 https://qomvia.com/site/dynatrace-com - elastic.co: not measured - influxdata.com: not measured ## FAQ Q: Is Prometheus readable by AI agents? A: Prometheus (prometheus.io) scores 54 out of 100 for agent readiness, grade D, measured today, on 23.10.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright. Q: What stops agents from using prometheus.io? A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call; 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 Prometheus agent-readiness score calculated? A: Qomvia fetches public pages of prometheus.io 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 23.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software - Score another site: https://qomvia.com/