A powerful tool for searching and retrieving official Japanese government statistics directly from the e-Stat API portal.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install estat-mcp
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install estat-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The estat-mcp skill provides a streamlined interface to e-Stat, Japan's central portal for official government open data. It allows developers and analysts to access over 3,000 statistical tables covering critical domains such as demographics, economic indicators, and labor markets. By integrating this capability into Openclaw Skills, users can programmatically query complex datasets without manually navigating the web portal.
This skill bridges the gap between raw government data and actionable insights, supporting both Japanese and English keyword searches. Whether you are tracking the Consumer Price Index (CPI) or analyzing trade statistics, estat-mcp ensures you get precise, formatted data directly in your workspace, making it an essential addition to any data-driven workflow.
To use this skill within the Openclaw Skills framework, follow these installation steps:
export ESTAT_APP_ID='your_api_key_here'
uv tool install estat-mcp
# OR
pip install estat-mcp
estat-mcp test
The skill organizes data retrieved from e-Stat into structured outputs. Users can filter data using the following taxonomy:
| Parameter | Description | Examples |
|---|---|---|
--cd-tab |
Table item code | Specific metrics within a table |
--cd-time |
Time/Year code | 2024000 (Year 2024) |
--cd-area |
Geographic area code | 13000 (Tokyo) |
--cd-cat01 |
Primary classification | Sector or category-specific filters |
Results are returned as structured JSON when using the --format json flag, allowing for easy parsing by AI agents or data visualization tools.
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