{
  "slug": "mcpcat",
  "name": "Mcpcat",
  "description": "Mcpcat was a company that provided analytics and observability solutions for AI agents. It has since rebranded and is now known as AgentCat. AgentCat offers tools to trace every session, uncover agent intent, and identify issues for Claude Connectors and ChatGPT Apps, focusing on building a superior Agent Experience (AX).",
  "url": "https://optimly.ai/brand/mcpcat",
  "websiteUrl": "https://agentcat.com/",
  "logoUrl": "https://logo.clearbit.com/agentcat.com",
  "baiScore": 57.5,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "AI Model Performance & Evaluation Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-24T15:40:24.541Z",
  "verifiedVitals": {
    "website": "https://agentcat.com",
    "category": "AI Agent Analytics and Observability",
    "what_it_does": "Provides analytics and observability for Claude Connectors and ChatGPT Apps, allowing users to trace every session, uncover agent intent, and identify issues as they arise.",
    "primary_audience": "Teams building for AI agents, specifically those developing Claude Connectors and ChatGPT Apps.",
    "core_product": "AgentCat platform, which offers features like session replay, understanding agent goals, rich analytics, automatic issue detection, experimentation, and integration with existing tools.",
    "pricing_model": {
      "kind": "freemium",
      "detail": "Offers a 'Free' tier with 500 sessions per month, a 'Growth' subscription at $160/month with 2,000 sessions per month, and a 'Custom' 'Enterprise' plan. Additional sessions beyond the free or included amount are priced at $40 per 1,000 sessions."
    }
  },
  "intentTags": {
    "problemIntents": [
      "Difficulty understanding how agents experience AI products",
      "Challenges in tracing AI agent sessions",
      "Inability to uncover AI agent intent",
      "Issues with identifying and fixing problems in AI applications as they arise",
      "Managing errors, hallucinations, and crashes in AI agent traffic",
      "Lack of clear goals and insights from AI agent sessions",
      "Long debugging times for AI agent issues",
      "Difficulty preparing for QBRs and customer calls with agent data"
    ],
    "solutionIntents": [
      "Seeking AI agent analytics and observability solutions",
      "Looking for tools to replay AI agent sessions for AI agents",
      "Wanting to identify and fix issues in AI agent applications",
      "Desiring to understand AI agent goals and intent",
      "Needing to stay in control as AI agent traffic grows",
      "Exploring per-tool performance tracking for AI agents",
      "Implementing A/B testing for AI agent improvements",
      "Integrating AI agent insights with existing triage tools (e.g., Slack)",
      "Requiring enterprise-grade security and compliance for AI agent data"
    ],
    "evaluationIntents": [
      "Comparing AI agent observability platforms",
      "Evaluating pricing models for AI agent analytics solutions",
      "Assessing security features (SOC II, redaction, self-hosting) for AI agent data",
      "Considering open-source SDKs for AI agent monitoring",
      "Looking for dedicated support and implementation help for AI agent solutions"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1790401470070
}