ai.useimagine/benchmark · v0.1.0 · communication
Imagine AI Benchmark is healthy: it completed an MCP handshake in 2786 ms and exposes 5 tools. It scores 59/100.
LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method.
Endpoint: https://benchmark.useimagine.ai/api/mcp (streamable-http)
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| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 7 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 5 / 10 |
Scoring v0.3, computed 2026-10-14T16:25:57.774Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T16:25:42.153Z | Healthy | 2786 |
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 score = median of its 5 most active fitted people (by original posts in the last 90 days) plus the company page; needs 2+ fitted accounts. people |
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), population vs the research baseline, and category lift with the author effect removed (which post |
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. |