Imagine AI Benchmark

Reliability

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "imagine-ai-benchmark": {
      "type": "http",
      "url": "https://benchmark.useimagine.ai/api/mcp"
    }
  }
}

5 tools

• list_companies

  List companies in the benchmark catalog (customers, competitors, industry peers). Filter by name substring, industry, or tracking. Returns ids you pass to every other tool.

• company_fit_summary

  A company's page fit plus the distribution of its people's geometric means (median, baseline band), top people and who is under the 18-post floor. Company typical post = median over up to 5 counted fitted people plus the company page: founders, CEO and C-suite who posted in the…

• industry_landscape

  Every account in an industry (or a custom company set): per-company rollup (page fit + people median over the 5 most active fitted people (peopleCounted), preliminary = "Few posts" under 40 team posts, solo = "1 account" when one fitted account carries the company), population…

• methodology

  Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers.

• category_breakdown

  Post counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people.

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