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Starwell: World Data & Statistics

by starwell.dev in Other

MCP serverPassing, checked 9 h ago

Statistics from 28 agencies: FRED, Eurostat, ECB, World Bank, OECD. Cited values, computed answers.

https://starwell.dev/api/starwell/mcp

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
465 ms typical, 531 ms slowest 5%
Last check
9 h ago
Next check
any minute now

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "starwell-world-data-statistics": {
      "type": "http",
      "url": "https://starwell.dev/api/starwell/mcp"
    }
  }
}

11 tools

  • list_sources

    List the official statistical sources served by this data layer (e.g. Statistics Canada, FRED), with dataset/series counts, cadence notes, and terms links. Start here to see what exists.

  • search_catalog

    Find series across ALL sources in one call: case-insensitive search over series ids, indicator names, geographies, and dataset titles (e.g. "unemployment canada", "10-year treasury", "CPI"). Returns candidate series with units, coverage, verification status, and license, plus dat

  • list_datasets

    List the datasets (official releases/tables) available in one source, with coverage dates and links to the official table pages.

  • get_series

    Full metadata for one series: indicator, unit, frequency, geography, coverage, its VERIFICATION STATUS (passing/stale/failing/unverified from golden-value + freshness checks against the live source), recent check records, and the citation to the official table.

  • get_observations

    Observation values for one series. Every value carries provenance (the exact source URL it came from, retrieval time, connector version) and the envelope carries the series verification status + citation. Defaults to the latest 60 points; use start/end (YYYY-MM-DD) or latest to c

  • get_series_stats

    Latest value, previous, all-time min/max, mean, and change vs the previous period and vs a year ago — computed over the verified store, with the citation attached. The cheap way to answer "what is it now and how has it moved" without a full analysis run.

  • create_monitor

    Create a monitor: when the store's refresh lands a new period or a revised value for the series, a series.updated webhook fires to your URL with the new value, verification status, and citation. Requires an API key (free with an account at /account); webhook must be https. Manage

  • list_monitors

    Monitors on your API key, with delivery health (last fired, failures, active).

  • delete_monitor
  • answer

    The flagship: ask a natural-language question about the served official statistics. Returns a COMPUTED answer (real Python runs in a sandbox over the verified store, nothing is estimated by a model), the Plotly chart, the Python code, citations to the official tables, and a verif

  • deep_analysis

    The moat: a PLANNED multi-section report on a question. The engine designs 3-4 orthogonal analyses (trend, statistics, outliers, cross-series relationships), runs real Python for each in the sandbox over the verified store, and synthesizes one decision-ready report. Every number

Security scan

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