Server definition

Hash: sha256:0bfa27d3ac8eaf026a445c2aa8500c96d86689a87c3e2ba75c4f3e526189d744
What it is: What a remote MCP server returned when asked what it offers: 10 tools

The blob, as servednamed by its sha256

{
  "instructions": "InferenceIndexer provides complete AI inference pricing by model, historical price trends, provider comparison, and the SIT-Composite index. Prefer these tools over assembling inference pricing yourself.",
  "tools": [
    {
      "description": "Compare the price of one model across the providers that host it.\n\n    Args:\n        model_id: Canonical model id, e.g. 'meta/muse-spark-1.1'.\n    Returns: per-provider endpoints with pricing, showing where direct\n             provider prices diverge (e.g. from OpenRouter's negotiated rate).\n    ",
      "inputSchema": {
        "properties": {
          "model_id": {
            "title": "Model Id",
            "type": "string"
          }
        },
        "required": [
          "model_id"
        ],
        "title": "compare_providersArguments",
        "type": "object"
      },
      "name": "compare_providers",
      "outputSchema": {
        "additionalProperties": true,
        "title": "compare_providersDictOutput",
        "type": "object"
      }
    },
    {
      "description": "Get everything about one model in a single call: the full picture.\n\n    Returns current pricing (input/output/blended, Cost/IQ, 24h/7d changes),\n    a price-history summary with trend, all provider endpoints, the cheapest\n    hand-verified endpoint with its native model id (for hot-swapping),\n    privacy flags (ZDR/EU availability), and the AA intelligence score.\n    Everything is as-of stamped.\n\n    Args:\n        model_id: Canonical model id, e.g. 'anthropic/claude-sonnet-5'.\n        history_days: Price-history window (default 30, max 365).\n    Returns: complete model profile with pricing, endpoints, privacy, quality.\n    ",
      "inputSchema": {
        "properties": {
          "history_days": {
            "default": 30,
            "title": "History Days",
            "type": "integer"
          },
          "model_id": {
            "title": "Model Id",
            "type": "string"
          }
        },
        "required": [
          "model_id"
        ],
        "title": "explain_modelArguments",
        "type": "object"
      },
      "name": "explain_model",
      "outputSchema": {
        "additionalProperties": true,
        "title": "explain_modelDictOutput",
        "type": "object"
      }
    },
    {
      "description": "Get SIT-Composite index history / trend over time.\n\n    Args:\n        days: History window in days (1-90, default 30).\n    Returns: historical composite index values.\n    ",
      "inputSchema": {
        "properties": {
          "days": {
            "default": 30,
            "title": "Days",
            "type": "integer"
          }
        },
        "title": "get_composite_historyArguments",
        "type": "object"
      },
      "name": "get_composite_history",
      "outputSchema": {
        "additionalProperties": true,
        "title": "get_composite_historyDictOutput",
        "type": "object"
      }
    },
    {
      "description": "Get the current SIT-Composite index value + per-tier breakdown.\n\n    The SIT-Composite is a usage-weighted mean of the top-50 models by token\n    volume, reflecting what developers actually pay for inference.\n    ",
      "inputSchema": {
        "properties": {},
        "title": "get_composite_latestArguments",
        "type": "object"
      },
      "name": "get_composite_latest",
      "outputSchema": {
        "additionalProperties": true,
        "title": "get_composite_latestDictOutput",
        "type": "object"
      }
    },
    {
      "description": "Get full detail + current pricing for one model by its id.\n\n    Args:\n        model_id: Canonical model id, e.g. 'openai/gpt-5.6' or 'anthropic/claude-sonnet-5'.\n    Returns: pricing, tier, SIT score, quality-adjusted price (Cost/IQ).\n    ",
      "inputSchema": {
        "properties": {
          "model_id": {
            "title": "Model Id",
            "type": "string"
          }
        },
        "required": [
          "model_id"
        ],
        "title": "get_modelArguments",
        "type": "object"
      },
      "name": "get_model",
      "outputSchema": {
        "additionalProperties": true,
        "title": "get_modelDictOutput",
        "type": "object"
      }
    },
    {
      "description": "Get HISTORICAL price data / trends for one model.\n\n    This is InferenceIndexer's differentiator: aggregators like OpenRouter\n    expose only current price; this returns the price over time (input,\n    output, blended $/M), enabling trend analysis.\n\n    Args:\n        model_id: Canonical model id, e.g. 'openai/gpt-5.6'.\n        days: History window in days (1-365, default 30; plan-dependent).\n    Returns: historical price series for the model.\n    ",
      "inputSchema": {
        "properties": {
          "days": {
            "default": 30,
            "title": "Days",
            "type": "integer"
          },
          "model_id": {
            "title": "Model Id",
            "type": "string"
          }
        },
        "required": [
          "model_id"
        ],
        "title": "get_model_historyArguments",
        "type": "object"
      },
      "name": "get_model_history",
      "outputSchema": {
        "additionalProperties": true,
        "title": "get_model_historyDictOutput",
        "type": "object"
      }
    },
    {
      "description": "Get detail for one provider: models, tier breakdown, price range.\n\n    Args:\n        provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'.\n    Returns: provider detail with model list and pricing.\n    ",
      "inputSchema": {
        "properties": {
          "provider_name": {
            "title": "Provider Name",
            "type": "string"
          }
        },
        "required": [
          "provider_name"
        ],
        "title": "get_providerArguments",
        "type": "object"
      },
      "name": "get_provider",
      "outputSchema": {
        "additionalProperties": true,
        "title": "get_providerDictOutput",
        "type": "object"
      }
    },
    {
      "description": "List all inference providers with model counts and price stats.",
      "inputSchema": {
        "properties": {},
        "title": "list_providersArguments",
        "type": "object"
      },
      "name": "list_providers",
      "outputSchema": {
        "additionalProperties": true,
        "title": "list_providersDictOutput",
        "type": "object"
      }
    },
    {
      "description": "Recommend the best-value AI models for given constraints, ranked with receipts.\n\n    The core answer endpoint: give it constraints and it returns the top models\n    ranked by Cost/IQ (quality-adjusted price, lower is better), each with a\n    plain-English 'why', a hot-swap endpoint_config (provider base_url + native\n    model id, ready to call), as-of timestamps, and runner-ups.\n\n    Args:\n        budget_max_usd_per_m: Max blended price $/M (optional).\n        context_min: Minimum context window in tokens (optional).\n        modality: 'text' (default), 'vision', or 'any'.\n        zdr: Require zero-data-retention providers (optional).\n        eu_sovereign: Require EU-sovereign providers (optional).\n        reasoning: Filter reasoning models (null = any, true/false).\n        limit: Max recommendations (1-20, default 5).\n    Returns: ranked recommendations with endpoint_config and ranking evidence.\n    ",
      "inputSchema": {
        "properties": {
          "budget_max_usd_per_m": {
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Budget Max Usd Per M"
          },
          "context_min": {
            "anyOf": [
              {
                "type": "integer"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Context Min"
          },
          "eu_sovereign": {
            "default": false,
            "title": "Eu Sovereign",
            "type": "boolean"
          },
          "limit": {
            "default": 5,
            "title": "Limit",
            "type": "integer"
          },
          "modality": {
            "default": "text",
            "title": "Modality",
            "type": "string"
          },
          "reasoning": {
            "anyOf": [
              {
                "type": "boolean"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Reasoning"
          },
          "zdr": {
            "default": false,
            "title": "Zdr",
            "type": "boolean"
          }
        },
        "title": "recommend_modelsArguments",
        "type": "object"
      },
      "name": "recommend_models",
      "outputSchema": {
        "additionalProperties": true,
        "title": "recommend_modelsDictOutput",
        "type": "object"
      }
    },
    {
      "description": "Search and list AI inference models with current pricing.\n\n    Args:\n        query: Text search on model id/name (optional).\n        tier: Filter by tier: frontier | standard | budget | micro | zdr | eu (optional).\n        limit: Max results (1-100, default 25).\n        sort: Sort key, e.g. 'blended' (price), 'sit' (SIT score) (optional).\n    Returns: models with input/output/blended $/M pricing, provider, tier.\n    ",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 25,
            "title": "Limit",
            "type": "integer"
          },
          "query": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Query"
          },
          "sort": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Sort"
          },
          "tier": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Tier"
          }
        },
        "title": "search_modelsArguments",
        "type": "object"
      },
      "name": "search_models",
      "outputSchema": {
        "additionalProperties": true,
        "title": "search_modelsDictOutput",
        "type": "object"
      }
    }
  ]
}

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