Server definition

Hash: sha256:0f87d041780a6528b2eea48061abada50ff71a31d24ee840bef427baf104661a
What it is: What a remote MCP server returned when asked what it offers: 5 tools

The blob, as servednamed by its sha256

{
  "instructions": "InferIndex compares LLM API prices across providers and aggregators. Prices are in USD per 1M tokens; blended = (3 × input + output) / 4. Start with search_models if the model id is unclear, then cheapest, compare_providers, estimate_cost or price_history. Each result includes api_url, the equivalent public API call.",
  "tools": [
    {
      "description": "Cheapest current API offers for one model across direct providers and aggregators, in USD per 1M tokens (input, output, blended 3:1). Stale prices, and flex/batch tiers, are excluded by default. Optional filters (context, tools, JSON, vision, region, no training on prompts, open sign-up) and usage (tokens per request, requests per day) to get an estimated cost per request and per month. Returns the winner and the first offers.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "cached_ratio": {
            "description": "Share of input tokens served from the provider's prompt cache (0 to 1)",
            "maximum": 1,
            "minimum": 0,
            "type": "number"
          },
          "include_tiers": {
            "description": "Also include lower-priority service tiers, comma-separated: flex, batch (hidden by default)",
            "type": "string"
          },
          "json": {
            "description": "Only offers that support JSON output",
            "type": "boolean"
          },
          "limit": {
            "description": "Number of offers to return (default 5, max 25)",
            "maximum": 25,
            "minimum": 1,
            "type": "integer"
          },
          "min_context": {
            "description": "Minimum context window in tokens",
            "minimum": 0,
            "type": "integer"
          },
          "model": {
            "description": "Model id or name, e.g. 'deepseek-v3.2', 'deepseek/deepseek-v4-pro', 'gpt-5.6-luna'. Use search_models when unsure.",
            "type": "string"
          },
          "no_training": {
            "description": "Only providers whose published terms say they do not train on your prompts",
            "type": "boolean"
          },
          "no_waitlist": {
            "description": "Only providers with open sign-up (no waitlist or invitation)",
            "type": "boolean"
          },
          "output_tokens": {
            "description": "Output tokens per request, for the estimated cost",
            "minimum": 0,
            "type": "integer"
          },
          "prompt_tokens": {
            "description": "Input tokens per request, for the estimated cost",
            "minimum": 0,
            "type": "integer"
          },
          "region": {
            "description": "Only providers that process data in this region: eu, us, …",
            "type": "string"
          },
          "requests_per_day": {
            "description": "Requests per day, to also get an estimated monthly cost",
            "minimum": 0,
            "type": "integer"
          },
          "strict": {
            "description": "Exclude offers whose provider does not publish the filtered information (by default they are kept and flagged)",
            "type": "boolean"
          },
          "tools": {
            "description": "Only offers that support tool calling",
            "type": "boolean"
          },
          "vision": {
            "description": "Only offers that accept image input",
            "type": "boolean"
          }
        },
        "required": [
          "model"
        ],
        "type": "object"
      },
      "name": "cheapest",
      "outputSchema": null
    },
    {
      "description": "Current offers for one model, one line per provider and source (direct or via an aggregator), cheapest first (10 by default), with price, context, quantization, published conditions (training on prompts, data regions, sign-up) and reliability from official status pages.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "cached_ratio": {
            "description": "Share of input tokens served from the provider's prompt cache (0 to 1)",
            "maximum": 1,
            "minimum": 0,
            "type": "number"
          },
          "include_tiers": {
            "description": "Also include lower-priority service tiers, comma-separated: flex, batch (hidden by default)",
            "type": "string"
          },
          "limit": {
            "description": "Number of offers to return (default 10, max 50)",
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "model": {
            "description": "Model id or name, e.g. 'deepseek-v3.2', 'deepseek/deepseek-v4-pro', 'gpt-5.6-luna'. Use search_models when unsure.",
            "type": "string"
          },
          "no_training": {
            "description": "Only providers whose published terms say they do not train on your prompts",
            "type": "boolean"
          },
          "no_waitlist": {
            "description": "Only providers with open sign-up (no waitlist or invitation)",
            "type": "boolean"
          },
          "output_tokens": {
            "description": "Output tokens per request, for the estimated cost",
            "minimum": 0,
            "type": "integer"
          },
          "prompt_tokens": {
            "description": "Input tokens per request, for the estimated cost",
            "minimum": 0,
            "type": "integer"
          },
          "region": {
            "description": "Only providers that process data in this region: eu, us, …",
            "type": "string"
          },
          "requests_per_day": {
            "description": "Requests per day, to also get an estimated monthly cost",
            "minimum": 0,
            "type": "integer"
          },
          "sort": {
            "description": "Sort order (default blended); estimated_cost needs prompt_tokens or output_tokens",
            "enum": [
              "blended",
              "input",
              "output",
              "estimated_cost"
            ],
            "type": "string"
          },
          "strict": {
            "description": "Exclude offers whose provider does not publish the filtered information (by default they are kept and flagged)",
            "type": "boolean"
          }
        },
        "required": [
          "model"
        ],
        "type": "object"
      },
      "name": "compare_providers",
      "outputSchema": null
    },
    {
      "description": "Estimated cost of a workload on one model at each provider: cost per request, and per month if requests_per_day is given, taking the provider's tiered pricing and prompt-cache price into account. Offers sorted by estimated cost, cheapest first.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "cached_ratio": {
            "description": "Share of input tokens served from the provider's prompt cache (0 to 1)",
            "maximum": 1,
            "minimum": 0,
            "type": "number"
          },
          "limit": {
            "description": "Number of offers to return (default 5, max 25)",
            "maximum": 25,
            "minimum": 1,
            "type": "integer"
          },
          "model": {
            "description": "Model id or name, e.g. 'deepseek-v3.2', 'deepseek/deepseek-v4-pro', 'gpt-5.6-luna'. Use search_models when unsure.",
            "type": "string"
          },
          "output_tokens": {
            "description": "Output tokens per request, for the estimated cost",
            "minimum": 0,
            "type": "integer"
          },
          "prompt_tokens": {
            "description": "Input tokens per request, for the estimated cost",
            "minimum": 0,
            "type": "integer"
          },
          "requests_per_day": {
            "description": "Requests per day, to also get an estimated monthly cost",
            "minimum": 0,
            "type": "integer"
          }
        },
        "required": [
          "model"
        ],
        "type": "object"
      },
      "name": "estimate_cost",
      "outputSchema": null
    },
    {
      "description": "Price history of one model: every offer tracked by InferIndex (daily or weekly min/max/last price in USD, or raw price changes), plus the official price of the model's lab over time. Give either days, or from/to (YYYY-MM-DD), or at (a date) for the prices in effect that day.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "at": {
            "description": "A single date, YYYY-MM-DD: prices in effect that day",
            "type": "string"
          },
          "days": {
            "description": "Number of days back from today (default 7)",
            "minimum": 1,
            "type": "integer"
          },
          "from": {
            "description": "Start date, YYYY-MM-DD (with to, instead of days)",
            "type": "string"
          },
          "granularity": {
            "description": "day (default), week, or raw price changes",
            "enum": [
              "day",
              "week",
              "raw"
            ],
            "type": "string"
          },
          "limit": {
            "description": "Maximum number of points (default 100, max 500)",
            "maximum": 500,
            "minimum": 1,
            "type": "integer"
          },
          "model": {
            "description": "Model id or name, e.g. 'deepseek-v3.2', 'deepseek/deepseek-v4-pro', 'gpt-5.6-luna'. Use search_models when unsure.",
            "type": "string"
          },
          "provider": {
            "description": "Only this provider",
            "type": "string"
          },
          "to": {
            "description": "End date, YYYY-MM-DD",
            "type": "string"
          }
        },
        "required": [
          "model"
        ],
        "type": "object"
      },
      "name": "price_history",
      "outputSchema": null
    },
    {
      "description": "Find the exact id of an LLM tracked by InferIndex from a name or partial name (e.g. 'deepseek', 'qwen3 max', 'claude opus'). Returns matching model ids and names, best match first.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "query": {
            "description": "Model name or part of it",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_models",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:0f87d041780a6528b2eea48061abada50ff71a31d24ee840bef427baf104661a | sha256sum