{
  "data": {
    "tool": {
      "category": "data-providers",
      "endpoint": "https://starwell.dev/api/starwell/mcp",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/starwell-world-data-statistics.json",
      "kind": "mcp",
      "listed": "indexed",
      "liveUrl": "https://www.anchorterminal.com/api/v1/live/starwell-world-data-statistics.json",
      "markdownUrl": "https://www.anchorterminal.com/tools/starwell-world-data-statistics.md",
      "mcpTools": {
        "check": {
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          "totalTokens": 2440,
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            "note": 1,
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          "findings": [
            {
              "rule": "TC05",
              "severity": "error",
              "tool": "delete_monitor",
              "message": "no description",
              "fix": "Say what it does, when to use it (and when not), what it returns, and any cost or side effect."
            },
            {
              "rule": "TC11",
              "severity": "warn",
              "tool": "answer",
              "message": "1 parameter without a description: question",
              "fix": "Describe each one: format, units, an example, and what happens when it's left out."
            },
            {
              "rule": "TC11",
              "severity": "warn",
              "tool": "deep_analysis",
              "message": "1 parameter without a description: question",
              "fix": "Describe each one: format, units, an example, and what happens when it's left out."
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              "rule": "TC11",
              "severity": "warn",
              "tool": "get_observations",
              "message": "2 parameters without a description: seriesId, source",
              "fix": "Describe each one: format, units, an example, and what happens when it's left out."
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            {
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              "message": "11 of 11 tools have no outputSchema",
              "fix": "Declare outputSchema for tools that return structured data, and return structuredContent that matches it."
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        "count": 11,
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          {
            "name": "list_sources",
            "title": "List data sources",
            "description": "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.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "properties": {},
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            },
            "annotations": {
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            "name": "search_catalog",
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            "description": "Find series across ALL sources in one call: case-insensitive search over series ids, indicator names, geographies, and dataset titles (e.g. \"unemployment canada\", \"10-year treasury\", \"CPI\"). Returns candidate series with units, coverage, verification status, and license, plus datasetMatches from the wider dataset index — datasets whose series can be requested by source-native id and are fetched from the official source on first call. The fastest path from a question to the exact series id to fetch or pin in the answer tool.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
              "properties": {
                "limit": {
                  "description": "Max results (default 20)",
                  "maximum": 100,
                  "minimum": 1,
                  "type": "integer"
                },
                "offset": {
                  "description": "Skip the first N ranked hits (default 0). When hasMore is true, call again with offset = offset + limit.",
                  "minimum": 0,
                  "type": "integer"
                },
                "query": {
                  "description": "Search terms, e.g. \"unemployment rate canada\"",
                  "maxLength": 200,
                  "minLength": 1,
                  "type": "string"
                },
                "source": {
                  "description": "Optional source slug to restrict to, e.g. 'fred'",
                  "type": "string"
                }
              },
              "required": [
                "query"
              ],
              "type": "object"
            },
            "annotations": {
              "readOnlyHint": true
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          },
          {
            "name": "list_datasets",
            "title": "List datasets in a source",
            "description": "List the datasets (official releases/tables) available in one source, with coverage dates and links to the official table pages.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
              "properties": {
                "source": {
                  "description": "Source slug, e.g. 'fred' or 'statcan'",
                  "type": "string"
                }
              },
              "required": [
                "source"
              ],
              "type": "object"
            },
            "annotations": {
              "readOnlyHint": true
            }
          },
          {
            "name": "get_series",
            "title": "Get series metadata + verification",
            "description": "Full metadata for one series: indicator, unit, frequency, geography, coverage, its VERIFICATION STATUS (passing/stale/failing/unverified from golden-value + freshness checks against the live source), recent check records, and the citation to the official table.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
              "properties": {
                "seriesId": {
                  "description": "Source-native series id, e.g. 'UNRATE' or 'v41690973'",
                  "type": "string"
                },
                "source": {
                  "description": "Source slug, e.g. 'fred'",
                  "type": "string"
                }
              },
              "required": [
                "source",
                "seriesId"
              ],
              "type": "object"
            },
            "annotations": {
              "readOnlyHint": true
            }
          },
          {
            "name": "get_observations",
            "title": "Get observations (with provenance)",
            "description": "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.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
              "properties": {
                "end": {
                  "description": "YYYY-MM-DD inclusive upper bound",
                  "type": "string"
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                "latest": {
                  "description": "Return only the latest N points (default 60 when no start/end given)",
                  "maximum": 2000,
                  "minimum": 1,
                  "type": "integer"
                },
                "seriesId": {
                  "type": "string"
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                "source": {
                  "type": "string"
                },
                "start": {
                  "description": "YYYY-MM-DD inclusive lower bound",
                  "type": "string"
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                "source",
                "seriesId"
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              "type": "object"
            },
            "annotations": {
              "readOnlyHint": true
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          {
            "name": "get_series_stats",
            "title": "Summary statistics for a series",
            "description": "Latest value, previous, all-time min/max, mean, and change vs the previous period and vs a year ago — computed over the verified store, with the citation attached. The cheap way to answer \"what is it now and how has it moved\" without a full analysis run.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
              "properties": {
                "seriesId": {
                  "description": "Series id, e.g. 'DGS10'",
                  "type": "string"
                },
                "source": {
                  "description": "Source slug, e.g. 'fred'",
                  "type": "string"
                }
              },
              "required": [
                "source",
                "seriesId"
              ],
              "type": "object"
            },
            "annotations": {
              "readOnlyHint": true
            }
          },
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            "name": "create_monitor",
            "title": "Watch a series (webhook on movement)",
            "description": "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 / delete_monitor.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
              "properties": {
                "seriesId": {
                  "description": "Series id, e.g. 'DGS10'",
                  "type": "string"
                },
                "source": {
                  "description": "Source slug, e.g. 'fred'",
                  "type": "string"
                },
                "webhookUrl": {
                  "description": "https URL to receive series.updated events",
                  "type": "string"
                }
              },
              "required": [
                "source",
                "seriesId",
                "webhookUrl"
              ],
              "type": "object"
            },
            "annotations": {
              "idempotentHint": true,
              "readOnlyHint": false
            }
          },
          {
            "name": "list_monitors",
            "title": "List your monitors",
            "description": "Monitors on your API key, with delivery health (last fired, failures, active).",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "properties": {},
              "type": "object"
            },
            "annotations": {
              "readOnlyHint": true
            }
          },
          {
            "name": "delete_monitor",
            "title": "Delete one of your monitors",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
              "properties": {
                "id": {
                  "description": "Monitor id from list_monitors",
                  "type": "string"
                }
              },
              "required": [
                "id"
              ],
              "type": "object"
            },
            "annotations": {
              "destructiveHint": true,
              "idempotentHint": true,
              "readOnlyHint": false
            }
          },
          {
            "name": "answer",
            "title": "Answer a question from verified data",
            "description": "The flagship: ask a natural-language question about the served official statistics. Returns a COMPUTED answer (real Python runs in a sandbox over the verified store, nothing is estimated by a model), the Plotly chart, the Python code, citations to the official tables, and a verification badge per series. CROSS-SOURCE: one question may join series from DIFFERENT agencies, e.g. unemployment from the US BLS, Statistics Canada and the UK ONS in a single call, for correlations, ratios, and like-for-like comparison. How many series one question may join is set by the caller's plan; asking for more returns a series_limit error naming that cap. Returns a refusal when no served series can answer. Takes 10-40 seconds. Requires a free API key (create at /account on the Starwell host; pass Authorization: Bearer dlk_... or set STARWELL_API_KEY on the starwell-mcp bridge). Keyless calls return key_required.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
              "properties": {
                "end": {
                  "description": "YYYY-MM-DD",
                  "type": "string"
                },
                "question": {
                  "maxLength": 500,
                  "minLength": 3,
                  "type": "string"
                },
                "series": {
                  "description": "Optional: pin exact series, across sources, and skip AI resolution",
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "seriesId": {
                        "type": "string"
                      },
                      "source": {
                        "type": "string"
                      }
                    },
                    "required": [
                      "source",
                      "seriesId"
                    ],
                    "type": "object"
                  },
                  "maxItems": 6,
                  "type": "array"
                },
                "share": {
                  "description": "When true, the answer becomes a permanent public page and meta.permalink carries its URL — hand it to the user as a citable link",
                  "type": "boolean"
                },
                "start": {
                  "description": "YYYY-MM-DD",
                  "type": "string"
                }
              },
              "required": [
                "question"
              ],
              "type": "object"
            },
            "annotations": {
              "readOnlyHint": false
            }
          },
          {
            "name": "deep_analysis",
            "title": "Deep multi-angle analysis from verified data",
            "description": "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 series cited and verification-badged. Sections can join series from DIFFERENT agencies in one report, up to the caller's plan width; over it, the call returns a series_limit error naming that cap. Slower than answer (60-180 seconds), so use it for \"analyze\", \"break down\", \"give me a full picture\" asks; use the answer tool for a single direct question. Requires a free API key (create at /account on the Starwell host; pass Authorization: Bearer dlk_... or set STARWELL_API_KEY on the starwell-mcp bridge). Keyless calls return key_required.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
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                  "description": "YYYY-MM-DD",
                  "type": "string"
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                "question": {
                  "maxLength": 500,
                  "minLength": 3,
                  "type": "string"
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                "series": {
                  "description": "Optional: pin exact series, across sources, and skip AI resolution",
                  "items": {
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                      "seriesId": {
                        "type": "string"
                      },
                      "source": {
                        "type": "string"
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                    "required": [
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                "start": {
                  "description": "YYYY-MM-DD",
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              },
              "required": [
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              "type": "object"
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            "annotations": {
              "readOnlyHint": false
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        ]
      },
      "name": "Starwell: World Data \u0026 Statistics",
      "note": "Indexed from the official MCP registry: facts and our own checks, not reviewed, so no score, grade or rank.",
      "packages": [
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          "identifier": "starwell-mcp",
          "version": "0.2.2",
          "transport": "stdio"
        }
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        "npmWeekly": 58
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      ],
      "repository": "https://github.com/Adarsh4052/starwell-mcp",
      "reviewed": false,
      "slug": "starwell-world-data-statistics",
      "source": "the official MCP registry",
      "sourceUrl": "https://registry.modelcontextprotocol.io/v0.1/servers?search=dev.starwell/world-data-statistics",
      "summary": "Statistics from 28 agencies: FRED, Eurostat, ECB, World Bank, OECD. Cited values, computed answers.",
      "updatedAt": "2026-08-13T19:52:11Z",
      "url": "https://www.anchorterminal.com/tools/starwell-world-data-statistics",
      "vendor": "starwell.dev",
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    "json": "https://www.anchorterminal.com/tools/starwell-world-data-statistics.json",
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  },
  "markdown": "# Starwell: World Data \u0026 Statistics\n\n\u003e Indexed, not reviewed: facts from the official MCP registry and our own checks. No score, grade or rank, and not in the rankings until the panel reviews it. How the index works: https://www.anchorterminal.com/indexed/\n\n- Kind: MCP server, by starwell.dev (https://starwell.dev)\n- Category: Data providers (https://www.anchorterminal.com/categories/data-providers.md)\n- Listed because: It's published in the registry under starwell.dev, a namespace the registry only gives to whoever proves they control that domain.\n- What the official MCP registry says: Statistics from 28 agencies: FRED, Eurostat, ECB, World Bank, OECD. Cited values, computed answers.\n\n## Facts\n\n- MCP registry: `dev.starwell/world-data-statistics` 0.2.2\n- Endpoint: https://starwell.dev/api/starwell/mcp (streamable HTTP)\n- Package: npm `starwell-mcp` (stdio)\n- Source: https://github.com/Adarsh4052/starwell-mcp\n- Website: https://starwell.dev\n- npm downloads a week: 58\n- GitHub stars: 0\n- Registry entry updated: 2026-08-13\n\n## Tools\n\n- Tools it lists (11, about 2,440 tokens of context, `tools/list` without credentials over MCP 2025-11-25, checked 2026-10-04 22:24 UTC):\n  - `list_sources` (read-only): List the official statistical sources served by this data layer (e.g. Statistics Canada, FRED), with dataset/series counts, cadence notes, and terms links.…\n  - `search_catalog` (read-only): Find series across ALL sources in one call: case-insensitive search over series ids, indicator names, geographies, and dataset titles (e.g. \"unemployment…\n  - `list_datasets` (read-only): List the datasets (official releases/tables) available in one source, with coverage dates and links to the official table pages.\n  - `get_series` (read-only): Full metadata for one series: indicator, unit, frequency, geography, coverage, its VERIFICATION STATUS (passing/stale/failing/unverified from golden-value +…\n  - `get_observations` (read-only): Observation values for one series. Every value carries provenance (the exact source URL it came from, retrieval time, connector version) and the envelope…\n  - `get_series_stats` (read-only): 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…\n  - `create_monitor` (writes): 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,…\n  - `list_monitors` (read-only): Monitors on your API key, with delivery health (last fired, failures, active).\n  - `delete_monitor` (writes): \n  - `answer` (writes): 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…\n  - `deep_analysis` (writes): The moat: a PLANNED multi-section report on a question. The engine designs 3-4 orthogonal analyses (trend, statistics, outliers, cross-series relationships),…\n- How its tools read to an agent (1 error, 3 warnings, 1 note, about 2,440 tokens; rules at https://www.anchorterminal.com/check.md; not part of the score):\n  - error TC05 delete_monitor: no description\n  - warn TC11 answer: 1 parameter without a description: question\n  - warn TC11 deep_analysis: 1 parameter without a description: question\n  - warn TC11 get_observations: 2 parameters without a description: seriesId, source\n  - note TC24 server: 11 of 11 tools have no outputSchema\n\n- JSON: https://www.anchorterminal.com/api/v1/tools/starwell-world-data-statistics.json\n- Being indexed says nothing about quality, and nobody can pay for it. Ask for a review: https://www.anchorterminal.com/builders/#claiming\n",
  "meta": {
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    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-05",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.3",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run"
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    "description": "Starwell: World Data \u0026 Statistics, an MCP server by starwell.dev, listed from the official MCP registry. Indexed, not reviewed: facts and our own checks, no score or ranking. Statistics from 28 agencies: FRED, Eurostat, ECB, World Bank, OECD. Cited values, computed answers.",
    "facts": [
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    "h1": "Starwell: World Data \u0026 Statistics",
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    "path": "/tools/starwell-world-data-statistics",
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    "section": "indexed",
    "title": "Starwell: World Data \u0026 Statistics | Anchor Terminal",
    "toc": null,
    "updated": "2026-10-05",
    "url": "https://www.anchorterminal.com/tools/starwell-world-data-statistics"
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    "markdown": 1100,
    "slim": 1030
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}