imagine-benchmark

endpoint

https://benchmark.useimagine.ai/api/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is imagine-benchmark live?

Yes — it answered the hub's last check (checked 52m ago). It answered 100% of checks over the last 30 days.

Is imagine-benchmark free to use?

Yes — the hub reached it with no key and no payment.

What tools does imagine-benchmark have?

5 tools: methodology, category_breakdown, list_companies, company_fit_summary, industry_landscape.

Is imagine-benchmark safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• industry_landscape open 51m ago

  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 types beat each author's own typical post). Public callers get bands and pooled lifts, the same as Discover. Use for "what works in fintech" or "where does X sit in its market".

  mcp-tool

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  {
    "type": "object",
    "required": [],
    "properties": {
      "limit": {
        "type": "integer",
        "maximum": 300,
        "minimum": 0,
        "description": "Max accounts listed. Default 40."
      },
      "dateTo": {
        "type": "string",
        "description": "Inclusive end date YYYY-MM-DD (post_date)."
      },
      "dateFrom": {
        "type": "string",
        "description": "Inclusive start date YYYY-MM-DD (post_date)."
      },
      "industry": {
        "type": "string",
        "description": "Industry label, e.g. \"Sales & Marketing Tech\". Omit with companyIds for a custom set; omit both = the live dashboard set for workspace keys, the whole catalog for operators."
      },
      "companyIds": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Custom company set (e.g. a customer + its competitors). Workspace keys: omit (with no industry) = own company + current competitors from the dashboard."
      },
      "workspaceId": {
        "type": "string",
        "description": "Internal callers only: default the set from this workspace."
      }
    },
    "additionalProperties": false
  }

  arguments 36 lines copy
• methodology unknown never probed

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

  mcp-tool

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  {
    "type": "object",
    "required": [],
    "properties": {},
    "additionalProperties": false
  }

  arguments 6 lines copy
• category_breakdown unknown 51m ago

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

  mcp-tool

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  {
    "type": "object",
    "required": [],
    "properties": {
      "dateTo": {
        "type": "string",
        "description": "Inclusive end date YYYY-MM-DD (post_date)."
      },
      "source": {
        "enum": [
          "company",
          "people",
          "all"
        ],
        "type": "string",
        "description": "'company' = the company page only, 'people' = its tracked people only, 'all' = both. Default varies per tool."
      },
      "dateFrom": {
        "type": "string",
        "description": "Inclusive start date YYYY-MM-DD (post_date)."
      },
      "personIds": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Person UUIDs (narrows to these people)."
      },
      "companyIds": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Company UUIDs. Workspace keys: omit = the live dashboard set (own company + current competitors, see the workspace tool)."
      },
      "workspaceId": {
        "type": "string",
        "description": "Internal callers only: default the set from this workspace."
      },
      "includeReposts": {
        "type": "boolean",
        "description": "Include reposts. Default false."
      }
    },
    "additionalProperties": false
  }

  arguments 46 lines copy
• list_companies unknown never probed

  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.

  mcp-tool

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  {
    "type": "object",
    "required": [],
    "properties": {
      "limit": {
        "type": "integer",
        "maximum": 500,
        "minimum": 1,
        "description": "Max rows, default 200."
      },
      "query": {
        "type": "string",
        "description": "Case-insensitive name substring, e.g. \"rho\"."
      },
      "industry": {
        "type": "string",
        "description": "Exact industry label, e.g. \"Sales & Marketing Tech\", \"AI Infrastructure\", \"Fintech\". Omit to see all industries."
      },
      "trackingOnly": {
        "type": "boolean",
        "description": "Only companies in the scheduled scrapes (tracking_enabled). Default false."
      }
    },
    "additionalProperties": false
  }

  arguments 25 lines copy
• company_fit_summary unknown 51m ago

  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.counted / countedPersonIds say who is in. Use for 'how is X doing on LinkedIn'.

  mcp-tool

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  {
    "type": "object",
    "required": [],
    "properties": {
      "dateTo": {
        "type": "string",
        "description": "Inclusive end date YYYY-MM-DD (post_date)."
      },
      "company": {
        "type": "string",
        "description": "Company name or dashboard slug, if no id."
      },
      "dateFrom": {
        "type": "string",
        "description": "Inclusive start date YYYY-MM-DD (post_date)."
      },
      "companyId": {
        "type": "string",
        "description": "Company UUID. Workspace keys: omit = your own company."
      },
      "workspaceId": {
        "type": "string",
        "description": "Internal callers only: default to this workspace's own company."
      }
    },
    "additionalProperties": false
  }

  arguments 27 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.