# Starwell: World Data & Statistics

- Registry name: `dev.starwell/world-data-statistics` · version 0.2.2
- Categories (automatic, keyword rules): Datasets & public data, Search & data, Research & knowledge
- Authentication at last check: No auth
- Declared risk: Has destructive tools (destructiveHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=dev.starwell%2Fworld-data-statistics
- Server page: https://mcpstation.net/s/dev.starwell--world-data-statistics.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://starwell.dev/api/starwell/mcp`

## Tools (as reported by the server, not verified)

- `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 datasetMatches from the
- `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 control the window. P
- `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 with list\_monitors
- `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 verification badge per se
- `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 computed, every seri

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