프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
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Eurostat MCP Server

제작자: cyanheads버전 0.11.2i★ –i컴퓨터 또는 클라우드
레지스트리 이름io.github.cyanheads/eurostat-mcp-server

설치

개요

제작자가 쓴 설명(영어 원문)

Search and query the Eurostat catalogue — EU economy, demography, trade, and NUTS regional data.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 컴퓨터 또는 클라우드
  • 전송 방식: stdio, Streamable HTTP
  • 카테고리: 검색 및 AI 기억

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 3개 중 3개 통과
  • 제작자의 서버에서 실행돼요. 내가 요청한 내용은 제작자의 서버를 거쳐요.
  • 할 수 있는 일 8가지(도구) eurostat_search_datasets, eurostat_browse_themes, eurostat_get_dataset_info, eurostat_get_dimension_values …
  • 직접 입력할 값: EUROSTAT_CLAMP_LIMITS, MCP_LOG_LEVEL, EUROSTAT_BASE_URL, EUROSTAT_COMEXT_BASE_URL, EUROSTAT_REQUEST_TIMEOUT_MS, EUROSTAT_METADATA_TIMEOUT_MS, EUROSTAT_TOC_CACHE_TTL_MS, EUROSTAT_BULK_TIMEOUT_MS, EUROSTAT_BULK_MAX_BYTES, CANVAS_PROVIDER_TYPE, CANVAS_TEMP_PATH, CANVAS_TTL_MS, CANVAS_DEFAULT_ROW_LIMIT, EUROSTAT_DATAFRAME_DROP_ENABLED

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://eurostat.caseyjhand.com/mcp

또는 내 컴퓨터에서 실행하기

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "eurostat": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/eurostat-mcp-server"
      ],
      "env": {
        "EUROSTAT_CLAMP_LIMITS": "your-value",
        "MCP_LOG_LEVEL": "your-value",
        "EUROSTAT_BASE_URL": "your-value",
        "EUROSTAT_COMEXT_BASE_URL": "your-value",
        "EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
        "EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
        "EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
        "EUROSTAT_BULK_TIMEOUT_MS": "your-value",
        "EUROSTAT_BULK_MAX_BYTES": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "CANVAS_TEMP_PATH": "your-value",
        "CANVAS_TTL_MS": "your-value",
        "CANVAS_DEFAULT_ROW_LIMIT": "your-value",
        "EUROSTAT_DATAFRAME_DROP_ENABLED": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http eurostat https://eurostat.caseyjhand.com/mcp

또는 내 컴퓨터에서 실행하기

claude mcp add eurostat --env EUROSTAT_CLAMP_LIMITS=your-value --env MCP_LOG_LEVEL=your-value --env EUROSTAT_BASE_URL=your-value --env EUROSTAT_COMEXT_BASE_URL=your-value --env EUROSTAT_REQUEST_TIMEOUT_MS=your-value --env EUROSTAT_METADATA_TIMEOUT_MS=your-value --env EUROSTAT_TOC_CACHE_TTL_MS=your-value --env EUROSTAT_BULK_TIMEOUT_MS=your-value --env EUROSTAT_BULK_MAX_BYTES=your-value --env CANVAS_PROVIDER_TYPE=your-value --env CANVAS_TEMP_PATH=your-value --env CANVAS_TTL_MS=your-value --env CANVAS_DEFAULT_ROW_LIMIT=your-value --env EUROSTAT_DATAFRAME_DROP_ENABLED=your-value -- npx -y @cyanheads/eurostat-mcp-server

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "eurostat": {
      "url": "https://eurostat.caseyjhand.com/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "eurostat": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/eurostat-mcp-server"
      ],
      "env": {
        "EUROSTAT_CLAMP_LIMITS": "your-value",
        "MCP_LOG_LEVEL": "your-value",
        "EUROSTAT_BASE_URL": "your-value",
        "EUROSTAT_COMEXT_BASE_URL": "your-value",
        "EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
        "EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
        "EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
        "EUROSTAT_BULK_TIMEOUT_MS": "your-value",
        "EUROSTAT_BULK_MAX_BYTES": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "CANVAS_TEMP_PATH": "your-value",
        "CANVAS_TTL_MS": "your-value",
        "CANVAS_DEFAULT_ROW_LIMIT": "your-value",
        "EUROSTAT_DATAFRAME_DROP_ENABLED": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "eurostat": {
      "type": "http",
      "url": "https://eurostat.caseyjhand.com/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "eurostat": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/eurostat-mcp-server"
      ],
      "env": {
        "EUROSTAT_CLAMP_LIMITS": "your-value",
        "MCP_LOG_LEVEL": "your-value",
        "EUROSTAT_BASE_URL": "your-value",
        "EUROSTAT_COMEXT_BASE_URL": "your-value",
        "EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
        "EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
        "EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
        "EUROSTAT_BULK_TIMEOUT_MS": "your-value",
        "EUROSTAT_BULK_MAX_BYTES": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "CANVAS_TEMP_PATH": "your-value",
        "CANVAS_TTL_MS": "your-value",
        "CANVAS_DEFAULT_ROW_LIMIT": "your-value",
        "EUROSTAT_DATAFRAME_DROP_ENABLED": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://eurostat.caseyjhand.com/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • EUROSTAT_CLAMP_LIMITS env
    Clamp positive integer preview/search/dimension limits to 500/100/1000 with a notice. False restores schemas rejecting over-cap inputs.
  • MCP_LOG_LEVEL env
    Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').
  • EUROSTAT_BASE_URL env
    Eurostat API base URL. Override when using a mirror or proxy.
  • EUROSTAT_COMEXT_BASE_URL env
    Base URL of the Comext dissemination host, which serves every DS-* dataset code (detailed trade and PRODCOM). Override when using a mirror or proxy.
  • EUROSTAT_REQUEST_TIMEOUT_MS env
    Total allowance for one Eurostat request across retries, backoff and body consumption, in milliseconds.
  • EUROSTAT_METADATA_TIMEOUT_MS env
    Total allowance for one dataset's SDMX dataflow structure across retries, backoff and body consumption, in milliseconds. Defaults to 120000; separate from EUROSTAT_REQUEST_TIMEOUT_MS for large struct…
  • EUROSTAT_TOC_CACHE_TTL_MS env
    How long a fetched catalogue TOC stays usable before the next catalogue call refreshes it, in milliseconds. Defaults to 12 hours.
  • EUROSTAT_BULK_TIMEOUT_MS env
    Total allowance for one eurostat_download_dataset transfer across request retries, backoff and streaming body consumption, in milliseconds. Defaults to 120000.
  • EUROSTAT_BULK_MAX_BYTES env
    Byte budget for one eurostat_download_dataset transfer, counted on the decoded TSV rather than on the wire. Eurostat sends the body chunked with no Content-Length, so the budget is enforced while str…
  • CANVAS_PROVIDER_TYPE env
    Dataframe canvas backend. The default, 'duckdb', lists eurostat_dataframe_describe and eurostat_dataframe_query, stages query matches with stage=true or above 5,000 observations, and retains bulk dow…
  • CANVAS_TEMP_PATH env
    Parent directory for DuckDB canvas spill files: a private 'mcp-canvas-XXXXXX' directory is created inside it, so it must be writable by the server process. Defaults to the OS temp directory.
  • CANVAS_TTL_MS env
    Sliding lifetime of a staged dataframe canvas in milliseconds; every call against it extends the window. Defaults to 24 hours.
  • CANVAS_DEFAULT_ROW_LIMIT env
    Maximum complete rows a single eurostat_dataframe_query returns before reporting truncated.
  • EUROSTAT_DATAFRAME_DROP_ENABLED env
    Set to 'true' to list eurostat_dataframe_drop, which removes one staged table from a dataframe canvas and leaves its other tables in place. Off by default because a drop cannot be undone; staged tabl…

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

  • eurostat_search_datasets

    Search the Eurostat catalogue by keyword. Returns matching datasets with codes, descriptions, period coverage, and theme breadcrumbs. Use this to discover dataset codes before calling eurostat_get_dataset_info, then eurostat_query_dataset for a slice of a dataset or eurostat_down

  • eurostat_browse_themes

    Navigate the Eurostat theme tree. Without theme_code returns the top-level theme folders (Economy, Population, Transport, etc.) — the practical starting points. With a theme_code returns its immediate children: subtheme folders and datasets in that branch. Use this for structured

  • eurostat_get_dataset_info

    Fetch metadata for a Eurostat dataset: dimensions with valid values, time range, observation count, and last-update date. Call this before eurostat_query_dataset or eurostat_download_dataset to discover what dimension codes are valid (unit, na_item, geo, etc.); eurostat_download_

  • eurostat_get_dimension_values

    List the valid values for a dimension in a Eurostat dataset, preserving value codes and labels exactly. Use this when eurostat_get_dataset_info returns more values than its sample, or to confirm exact filter codes before querying. Dimension identifiers match exactly first, then c

  • eurostat_query_dataset

    Fetch statistical data from a Eurostat dataset with dimension filters. Returns a deterministic inline prefix of decoded observations with dimension codes and labels, numeric values, an OBS_FLAG status (e.g., "p" = provisional, "e" = estimated) and a separate CONF_STATUS confident

  • eurostat_download_dataset

    Download a Eurostat dataset in bulk through the SDMX 2.1 TSV endpoint and stage it as a SQL table on the dataframe canvas — the route to a whole dataset, where eurostat_query_dataset is the route to a slice of one. The TSV wire format is roughly half the bytes of the JSON-stat bo

  • eurostat_dataframe_describe

    List the tables staged on a Eurostat dataframe canvas, with their row counts and column names and types. Call this before eurostat_dataframe_query to learn the table and column names to write SQL against. The canvas_id comes from a eurostat_query_dataset or eurostat_download_data

  • eurostat_dataframe_query

    Run a read-only SQL SELECT against tables staged on a Eurostat dataframe canvas, reaching observations beyond an inline preview and aggregating or joining tables without re-fetching Eurostat. Call eurostat_dataframe_describe first for table and column names. Only a single SELECT

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 cyanheads 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    546ms 만에 응답(HTTP 200)

  • – 해당 없음

    OAuth로 로그인

    로그인 필요 없음

  • ✓ 통과

    도구 설명에 숨겨진 지시 없음

    도구 설명 8개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

검색 및 AI 기억 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 5678개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 5678개 중 89%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 5678개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Eurostat MCP Server, 안전한가요?

해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.11.2)은 5일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Context7

제작자: upstash

Up-to-date docs for AI agents

컴퓨터 또는 클라우드★ 64,224MIT어제 업데이트
설치

Codebase Memory

제작자: DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

내 컴퓨터에서 실행★ 48,148MIT21일 전 업데이트
설치

Exa

제작자: exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

클라우드에서 실행★ 5,213MIT2개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

@cyanheads/eurostat-mcp-server Search and query the Eurostat catalogue — EU economy, demography, trade, health, and NUTS regional data via MCP. STDIO or Streamable HTTP. 6 Tools (up to 9 with the dataframe canvas) • 2 Resources • 1 Skill

Public Hosted Server: https://eurostat.caseyjhand.com/mcp


Overview

EU statistics from Eurostat: economy, demography, trade, health, and NUTS regional data, including detailed Comext trade and PRODCOM industrial production. Search or browse the catalogue, inspect a dataset's dimensions, then query a slice or bulk-download the whole thing.

Tools

The three eurostat_dataframe_* tools need the dataframe canvas, which is on by default and off with CANVAS_PROVIDER_TYPE=none; eurostat_dataframe_drop also needs EUROSTAT_DATAFRAME_DROP_ENABLED=true.

ToolDescription
eurostat_search_datasetsSearch the Eurostat catalogue by keyword — returns codes, descriptions, period coverage, and theme breadcrumbs
eurostat_browse_themesNavigate the Eurostat theme hierarchy — list root themes or drill into subthemes and datasets
eurostat_get_dataset_infoFetch dataset metadata: dimensions with sample values, time range, observation count, and last-update date
eurostat_get_dimension_valuesList all valid codes for one dataset dimension, paged, with a code/label word filter and NUTS hierarchy filtering for geo
eurostat_query_datasetFetch a bounded preview of decoded observations with dimension filters, NUTS geo-level, and time-range controls
eurostat_download_datasetDownload a whole dataset via the SDMX bulk endpoint and stage every row on the dataframe canvas
eurostat_dataframe_describeList the tables staged on a dataframe canvas, with row counts and column types
eurostat_dataframe_queryRun a read-only SQL SELECT across staged tables
eurostat_dataframe_dropRemove one staged table from a dataframe canvas, leaving its other tables in place (opt-in)
Resources
ResourceDescription
eurostat://dataset/{dataset_code}Dataset metadata (dimensions, time range, observation count, last-updated) by URI
skill://eurostat-guide/SKILL.mdStatistical comparison gates, identifier provenance, and SQL analysis workflows

The same metadata is available through eurostat_get_dataset_info for tool-only clients.

Agent skill

eurostat-guide covers country and regional comparisons, Comext aggregation, missing-data interpretation, and SQL joins over staged observations. It ships with plugin, npm, Docker, and MCPB installs and is served over MCP at skill://eurostat-guide/SKILL.md; supporting SQL examples are included under the skill's references/ directory.

Capability reference

eurostat_search_datasets tool
  • query words are ANDed case-insensitively across each dataset's label, theme breadcrumb, and code, ignoring spacing beside punctuation (Rev.2 finds Rev. 2); limit is a positive integer (default 20), clamped to 100 with a notice. Page by passing nextCursor back as cursor; cursor calls ignore limit
  • Results carry code, label, type (dataset / table), period coverage, obsCount, lastUpdated, and themePath, with totalMatches across every page; fails as no_match (naming the words whose removal finds matches or, when none does, the words that match no dataset), invalid_cursor, or a retryable upstream_fault when no catalogue is loaded and Eurostat's table of contents is unreachable
  • If the Comext dataflow list cannot be loaded, results carry comextListMissing and a notice; a catalogue that could not be refreshed carries catalogueLoadedAt

eurostat_browse_themes tool
  • Omit theme_code for the top-level theme folders; pass a folder code for its immediate children. Codes resolve exact-first, then case-insensitively. The Comext collections sit under ext_go_detail (detailed trade, in ext_go) and prom (PRODCOM, in icts)
  • Items carry code, label, type (folder / dataset / table), and hasChildren, with a parentPath breadcrumb and otherPlacements for a folder filed in several branches; fails as not_found for an unknown code, not_a_folder for a dataset or table code, or a retryable upstream_fault when no catalogue is loaded and Eurostat's table of contents is unreachable
  • If the Comext dataflow list cannot be loaded, ext_go and icts carry comextListMissing and a notice; a catalogue that could not be refreshed carries catalogueLoadedAt

eurostat_get_dataset_info tool
  • One dataset_code; returns every dimension with valuesCount and up to 10 sampleValues, plus timeRange, obsCount, lastUpdated, and the ESMS metadataUrl
  • Fails as not_found for an unknown dataset, or upstream_fault when Eurostat returns a structure the server cannot read (retryable when the endpoint is down)

eurostat_get_dimension_values tool
  • dataset_code plus dimension, resolved exact-first then case-insensitively (TIME_PERIOD aliases time); returned value codes and labels stay unchanged. For geo, geo_level picks a NUTS level (aggregate, country by default, nuts1, nuts2, nuts3). filter keeps values whose code and label contain every word given, ignoring case and accents (palma frankfurt finds DE_EDDF_ES_LEPA), counted in matchCount
  • limit defaults to 25 and clamps to 1,000 with a notice. Pages contain that many values, fewer at the end, with totalCount for the full list; a page with more after it carries truncated, nextCursor (pass back as cursor), and a notice. Continuations retain the effective count and ignore a new limit; older cursors above 1,000 normalize to 1,000 with disclosure. Fails as not_found, no_results, conflicting_params, invalid_cursor, upstream_fault (retryable when the endpoint is down), or canvas_not_found
  • canvas_id stages every value on that canvas as a code / label table (canvasId / tableName / stagedRowCount) that labels a download's code columns through a join; it never starts a canvas of its own

eurostat_query_dataset tool
  • dataset_code plus filters ({dimension_code: [values]}), geo_level, and either since_period / until_period (2020, 2020-Q1, 2020-01, down to YYYY-Wnn and YYYY-Dnnn) or last_n_periods; preview_limit is a positive integer (default 25), clamped to 500 with a notice; lang is EN, FR, or DE
  • stage: true stages the whole match on an available canvas, regardless of size; reuse canvas_id or omit it to create one. Without it, automatic staging starts above 5,000 observations. truncated still describes that threshold; tableName identifies a staged result. Canvas-disabled deployments disclose an explicit staging request as unavailable
  • last_n_periods counts dataset time positions, which can include periods with no populated cells. A notice names gaps across the full match (up to the newest 24, with an omitted count); increase N or replace it with until_period to reach earlier observations
  • Eurostat keeps only periods wholly inside since_period–until_period, per frequency. A notice names a period a bound falls inside and the bound that includes it. A one-day range goes out as time= , because Eurostat ignores one-day bounds
  • Each observation carries code/label pairs per dimension, a nullable value, status (OBS_FLAG), and confStatus (CONF_STATUS); obsCount, missingObsCount, absentCellCount (periods a matched series lacks, which are not observations and are never staged), and timeRange cover the whole match, truncated is true above 5,000 observations, and unmatchedValues names filter values that matched nothing
  • Fails as not_found, no_results (naming the unmatched values, the periods with no value, why a range selected no period, or geo_level as the likely cause when Eurostat's reply says nothing more), invalid_dimension, invalid_period, conflicting_params, a non-retryable async_response for a query too large to serve, canvas_not_found, or a retryable upstream_fault when the Statistics API is down

eurostat_download_dataset tool
  • dataset_code plus the same filters map and since_period / until_period (no last_n_periods: the TSV keeps a column per period unless a range drops it); preview_limit is a positive integer (default 25), clamped to 500 with a notice
  • The wholly-inside rule and its notice apply here too. A one-day range requests that day and the next, and the later day's column is dropped before anything is counted or staged
  • Stages one row per non-blank TSV cell. A row with null obs_value and no flag, status or text (an unflagged :) is not an observation: it is a period the series lacks, or a period of a frequency the series has no observation of (the padding of a mixed-frequency slice)
  • Returns rowCount (echoed as totalCount), missingCount, absentCellCount (the unflagged rows at periods of a frequency the series carries), periodRange (bounded by rows carrying a value, flag, status, or text), and bytesRead for the whole download; fails as not_found, invalid_dimension, invalid_period, filter_arity, a non-retryable async_queued or extraction_too_big, no_results, upstream_fault (retryable when the SDMX endpoint is down), or canvas_not_found
  • The EUROSTAT_BULK_MAX_BYTES budget (default 50 MiB decoded) retains complete rows within the permitted prefix and returns budgetExceeded: true. A budget too small for a complete header and usable row fails as byte_budget_exceeded, with the configured limit and narrowing guidance. bytesRead counts accepted decoded bytes, never more than the

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