AI Model Leaderboard Search (by Name or Organization)

omnial/search-leaderboard-models

Searches a community AI-model leaderboard by keyword (a model name or the organization that built it) within a given category, returning each matching model's rank, Elo-style rating with its confidence range, vote count, license, per-million-token pricing, context length, and release status.

activeper callv2

Price

Up to $0.0137 per call; you pay what the call used

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.

Data source

LMArena

Data from LMArena.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

Connect once and your AI can find and run this tool, and any other it needs.

Install it Create an account

agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/search-leaderboard-models" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/search-leaderboard-models" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/search-leaderboard-models", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/search-leaderboard-models", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.0137

Updated: Oct 25, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "Search keyword to match against model display names or organization names (case-insensitive substring match), e.g. 'gemini' or 'openai'."
    },
    "category": {
      "type": "string",
      "description": "Leaderboard category to search in, e.g. 'text'. Only 'text' has been tested; other category values are documented by the source but unconfirmed here."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "properties": {
    "data": {
      "type": "object",
      "properties": {
        "query": {
          "type": "string",
          "description": "Echoes the input search keyword."
        },
        "results": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "rank": {
                "type": "number",
                "description": "The model's current leaderboard position."
              },
              "votes": {
                "type": "number",
                "description": "Number of head-to-head votes backing this rating."
              },
              "rating": {
                "type": "number",
                "description": "Elo-style leaderboard rating."
              },
              "license": {
                "type": "string",
                "description": "e.g. 'Proprietary'. Only that value observed on real calls."
              },
              "modelKey": {
                "type": "string",
                "description": "The provider's internal identifier for this model version."
              },
              "modelUrl": {
                "type": "null",
                "description": "Always null; the source's announcement/product-page URL is not returned."
              },
              "rankLower": {
                "type": "number",
                "description": "Worst-case rank within the statistical confidence interval."
              },
              "rankUpper": {
                "type": "number",
                "description": "Best-case rank within the statistical confidence interval."
              },
              "ratingLower": {
                "type": "number",
                "description": "Lower bound of the rating's confidence interval."
              },
              "ratingUpper": {
                "type": "number",
                "description": "Upper bound of the rating's confidence interval."
              },
              "releaseType": {
                "type": [
                  "string",
                  "null"
                ],
                "description": "e.g. 'pre_release' for a model still in preview. Observed null for a generally-available model -- not always present."
              },
              "contextLength": {
                "type": [
                  "number",
                  "null"
                ],
                "description": "Maximum context window in tokens. Observed null for the same models missing pricing -- not always present."
              },
              "pricePerImage": {
                "type": [
                  "number",
                  "null"
                ],
                "description": "USD per generated image, for image-output models. Only null was observed on real calls (a text-category search) -- an image-category search may populate this, unconfirmed here."
              },
              "pricePerSecond": {
                "type": [
                  "number",
                  "null"
                ],
                "description": "USD per second of generated media, for video/audio-output models. Only null was observed on real calls (a text-category search) -- unconfirmed for other categories."
              },
              "modelDisplayName": {
                "type": "string",
                "description": "The model's public display name, e.g. 'gemini-3-pro'."
              },
              "modelOrganization": {
                "type": "string",
                "description": "The organization that publishes this model, e.g. 'Google'."
              },
              "inputPricePerMillion": {
                "type": [
                  "number",
                  "null"
                ],
                "description": "USD per million input tokens. Observed null for at least one model with no published API pricing (e.g. a chat-only product) -- not always present."
              },
              "outputPricePerMillion": {
                "type": [
                  "number",
                  "null"
                ],
                "description": "USD per million output tokens. Observed null alongside a null inputPricePerMillion on the same models -- not always present."
              }
            },
            "additionalProperties": false
          },
          "description": "Every matching model, in leaderboard rank order. Empty when nothing matches the query (e.g. 'zzznotarealmodelxyz123'), never an error."
        },
        "category": {
          "type": "string",
          "description": "Echoes the leaderboard category searched ('text' on both real calls)."
        }
      },
      "additionalProperties": false
    },
    "status": {
      "type": "string",
      "description": "'success' on both real calls observed."
    }
  },
  "description": "The search result.",
  "additionalProperties": false
}