A direct interface to US Bureau of Labor Statistics data for tracking inflation, employment, and macroeconomic indicators.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pipeworx-econdata
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pipeworx-econdata using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is US Economic Data (BLS)?
The US Economic Data (BLS) skill provides a seamless way for AI agents to query official government economic statistics. By leveraging the pipeworx-econdata integration, users can programmatically access the Consumer Price Index (CPI), civilian unemployment rates, and industry-specific employment figures. This tool is part of the ecosystem of Openclaw Skills designed to bring real-world data into automated workflows.
It simplifies complex API interactions with the Bureau of Labor Statistics, allowing developers to integrate high-fidelity economic time series into their applications or research pipelines. Using these Openclaw Skills ensures that your data is sourced directly from official US government repositories for maximum accuracy in financial and economic analysis.
US Economic Data (BLS) Use Cases
- Monitoring the monthly civilian unemployment rate for macroeconomic analysis.
- Tracking historical and current inflation trends via the Consumer Price Index (CPI).
- Comparing employment growth and labor statistics across sectors like healthcare, technology, and manufacturing.
- Building automated economic dashboards and reporting tools using Openclaw Skills.
- Fetching specific time series data by ID for custom financial modeling.
How US Economic Data (BLS) Works
- The AI agent initiates a request using one of the provided tools like get_cpi or get_unemployment.
- The skill communicates with the Pipeworx gateway, which proxies requests to the official Bureau of Labor Statistics (BLS) API.
- Users can specify parameters such as start and end years to filter the time series data.
- The skill returns structured JSON data containing monthly values, period names, and annual figures.
- The integrated Openclaw Skills process this data to provide insights or visualizations to the end user.
US Economic Data (BLS) Setup
To integrate this skill into your environment, add the following configuration to your MCP servers settings:
{
"mcpServers": {
"pipeworx-econdata": {
"command": "npx",
"args": ["-y", "mcp-remote@latest", "https://gateway.pipeworx.io/econdata/mcp"]
}
}
}
Ensure you have curl installed as it is a required dependency for certain direct interactions with the Openclaw Skills gateway.
US Economic Data (BLS) Data Schema & Taxonomy
The skill organizes economic data into structured time-series objects. Below is the typical schema for returned indicators:
| Field | Description |
|---|---|
| year | The calendar year of the data point |
| period | The specific month (e.g., M01) or period name (e.g., January) |
| value | The numerical value for the economic indicator |
| seriesID | The unique BLS identifier for the queried dataset |
This format allows Openclaw Skills to easily parse and visualize economic trends over time.
US Economic Data (BLS) Advanced Features
- Direct Series Querying: Use get_series to pull any valid BLS series ID beyond the predefined convenience tools.
- Range-based Filtering: Specify start_year and end_year to retrieve specific historical windows for trend analysis.
- Sector Analysis: Granular employment data fetching by industry sector for comparative market research.
- MCP Remote Compatibility: Optimized for use with mcp-remote for seamless cloud-to-agent communication within the Openclaw Skills framework.
SKILL.md
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