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Starwell: World Data & Statistics

dev.starwell/world-data-statistics

by dev.starwell· v0.2.2Source: Official MCP Registry

Tools

Exactly what the server advertised in the scan completed . Effects and capabilities are classified by Squatch from each tool's metadata. Squatch never runs tools.

  • Effect: Read 8
  • Effect: Write 1
  • Effect: Delete 1
  • Effect: Unknown effect 1
Effect
Capability

Showing 11 of 11 tools

Tools advertised by dev.starwell/world-data-statistics
Details
delete_monitorEffect: Delete
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…

Effect: Write
answer

The flagship: ask a natural-language question about the served official statistics. Returns a COMPUTED answer (real Python runs in a sandbo…

Effect: Read
get_observations

Observation values for one series. Every value carries provenance (the exact source URL it came from, retrieval time, connector version) an…

Effect: Read
get_series

Full metadata for one series: indicator, unit, frequency, geography, coverage, its VERIFICATION STATUS (passing/stale/failing/unverified fr…

Effect: Read
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, wit…

Effect: Read
list_datasets

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

Effect: Read
list_monitors

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

Effect: Read
list_sources

List the official statistical sources served by this data layer (e.g. Statistics Canada, FRED), with dataset/series counts, cadence notes, …

Effect: Read
search_catalog

Find series across ALL sources in one call: case-insensitive search over series ids, indicator names, geographies, and dataset titles (e.g.…

Effect: Read
deep_analysis

The moat: a PLANNED multi-section report on a question. The engine designs 3-4 orthogonal analyses (trend, statistics, outliers, cross-seri…

Effect: Unknown effect