Imagine AI Benchmark
mcp remote · streamable-http · v0.1.0 · source: crawl
https://benchmark.useimagine.ai/api/mcp
LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method.
Works
100
Verified Oct 31, 2026 · p50 598 ms · p95 652 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'imagine-benchmark' |
| tools_listed | 15 | pass | 5 tools |
| schema_complete | 15 | pass | 5 of 5 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 598 ms |
| latency_p95 | 5 | pass | p95 652 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (5)
| Name | Description | Schema |
|---|---|---|
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. | typed |
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 fi | typed |
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 | typed |
methodology | Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers. | typed |
category_breakdown | Post counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people. | typed |
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[](https://app.agent-xm.com/a/ai-useimagine-benchmark)
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