stackdata

endpoint

https://api.stackdata.io/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 stackdata live?

Yes — it answered the hub's last check (checked 1h ago). It answered 99% of checks over the last 30 days.

Is stackdata free to use?

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

What tools does stackdata have?

6 tools: get_table, search_datasets, resolve_data, get_structure, tariff_lookup, get_series.

Is stackdata 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.

• tariff_lookup reads open 1h ago

  As-of customs-tariff lookup: which measures/duty rates apply to a goods code in a jurisdiction (eu, us, uk, jp), optionally from an origin, on a date. Duty expressions are verbatim; every measure carries its legal citation. Not legal advice.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "code"
    ],
    "properties": {
      "code": {
        "type": "string",
        "description": "goods code, 2-10 digits (HS/TARIC/HTS)"
      },
      "date": {
        "type": "string",
        "description": "as-of date YYYY-MM-DD, default today"
      },
      "origin": {
        "type": "string",
        "description": "ISO2 origin country (eu/uk only)"
      },
      "direction": {
        "enum": [
          "import",
          "export"
        ],
        "type": "string",
        "default": "import"
      },
      "jurisdiction": {
        "enum": [
          "eu",
          "us",
          "uk",
          "jp"
        ],
        "type": "string",
        "default": "eu"
      }
    }
  }

  arguments 38 lines copy
• get_series open 15h ago

  Fetch ONE series with every dimension named by you (no guessing or relaxing): dataset, ISO3 countries, an ISO period range and a member code for every dimension from get_structure. Returns status ok/empty/refused with each value's provenance, and the missing country-periods listed. A bad request is a named 400 error saying which field and what is allowed.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "dataset",
      "countries",
      "period",
      "select"
    ],
    "properties": {
      "period": {
        "type": "object",
        "required": [
          "start",
          "end"
        ],
        "properties": {
          "end": {
            "type": "string",
            "pattern": "^\\d{4}(-Q[1-4]|-(0[1-9]|1[0-2]))?$",
            "description": "Last period, same form and frequency as start."
          },
          "start": {
            "type": "string",
            "pattern": "^\\d{4}(-Q[1-4]|-(0[1-9]|1[0-2]))?$",
            "description": "First period, ISO form: YYYY, YYYY-Qn or YYYY-MM. Must match a frequency the dataset serves."
          }
        },
        "description": "Inclusive ISO period range. \"latest\" is not accepted: name the periods you want. Annual 2020, quarterly 2020-Q1, monthly 2020-01.",
        "additionalProperties": false
      },
      "select": {
        "type": "object",
        "description": "A member code for every dimension of the dataset (other than geography and time) as listed in /structure, including frequency. Every dimension must be named; a missing or unknown dimension or code is a 400, never defaulted.",
        "additionalProperties": {
          "type": "string"
        }
      },
      "dataset": {
        "type": "string",
        "description": "A dataset id from the catalog, as returned by search (/v1/search, or the search_datasets MCP tool), e.g. \"ilo-sdmx:DF_X\"."
      },
      "countries": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 25,
        "minItems": 1,
        "description": "ISO 3166-1 alpha-3 codes (e.g. \"JPN\") or an aggregate code listed in the dataset's /structure. 1 to 25 entries."
      }
    },
    "additionalProperties": false
  }

  arguments 53 lines copy
• get_table reads unknown 1h ago

  Fetch a STORED table whole, by dataset id (families cn-nbs-census and cn-nbs-yearbook): labelled rows × columns with original-language labels, English overlay, units, and provenance down to the source file. Ids look like 'cn-nbs-census:2010_a0101a'.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "dataset_id"
    ],
    "properties": {
      "dataset_id": {
        "type": "string",
        "description": "catalog dataset id"
      }
    }
  }

  arguments 12 lines copy
• search_datasets reads unknown never probed

  Search StackData's catalog of 50k+ official statistical datasets (SDMX/World Bank dataflows, China censuses and yearbooks, tariff schedules). Multilingual: an English query finds Chinese-titled tables. Returns dataset ids usable with the other tools.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "q"
    ],
    "properties": {
      "q": {
        "type": "string",
        "description": "search query"
      },
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 50,
        "minimum": 1
      }
    }
  }

  arguments 18 lines copy
• resolve_data reads unknown never probed

  Ask a data question in English ('unemployment rate in Japan', 'compare GDP in Japan and Germany') — resolves to the best covering dataset and returns the observations, with coverage honesty (missing countries are reported, never papered over).

  mcp-tool

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  {
    "type": "object",
    "required": [
      "q"
    ],
    "properties": {
      "q": {
        "type": "string",
        "description": "the question"
      },
      "end": {
        "type": "integer",
        "description": "end year"
      },
      "start": {
        "type": "integer",
        "description": "start year"
      }
    }
  }

  arguments 20 lines copy
• get_structure unknown 15h ago

  The published structure of one dataset, free: its dimensions with every member code and label, frequencies, period coverage, the ISO3 countries it serves, and whether it is servable. Call this before get_series to learn the codes to send. Dataset ids come from search_datasets.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "dataset"
    ],
    "properties": {
      "dataset": {
        "type": "string",
        "description": "catalog dataset id, e.g. 'ilo-sdmx:DF_X'"
      }
    }
  }

  arguments 12 lines copy

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