Do I need an API key to use the FRED Economic Data skill?

Yes, you must obtain a free API key from the Federal Reserve Bank of St. Louis (FRED) website and set it as an environment variable named FRED_API_KEY.

What kind of economic indicators can I access?

You can access over 800,000 series including GDP, Consumer Price Index (CPI), unemployment rates, interest rates, exchange rates, and housing data.

How does the skill handle FRED API rate limits?

The fred-economic-data skill includes a FREDQuery class that features automatic rate limiting, caching, and retry logic to prevent service interruptions.

Does this skill support data transformations?

Yes, the skill supports various transformations such as percent change from previous period, percent change from a year ago, log scales, and daily-to-monthly aggregations.

Can I access historical revisions of economic data?

Yes, it integrates with ALFRED (Archival FRED), allowing you to retrieve 'vintage' data to see exactly what was reported on a specific date in the past.

FRED Economic Data

Name: FRED Economic Data
Author: Weiwei-Mao

byWeiwei-Mao

数据科学与机器学习

Queries the Federal Reserve Economic Data (FRED) API to retrieve over 800,000 economic time series for financial research and macroeconomic analysis.

关于

The fred-economic-data skill provides a comprehensive interface for Claude to interact with the Federal Reserve Bank of St. Louis's extensive economic database. It enables users to fetch, transform, and analyze over 800,000 time series including key indicators like GDP, inflation, and unemployment from over 100 sources. With support for historical vintage data via ALFRED and regional mapping via GeoFRED, this skill is designed for data scientists, financial analysts, and researchers who need reliable, programmatic access to global and U.S. economic data directly within their development workflow.

主要功能

Built-in data transformations including percent change, log scales, and frequency aggregation
Vintage (revision) data retrieval via ALFRED integration for historical accuracy
Regional economic data mapping and GeoFRED support for geographic analysis
Automated rate limiting and retry logic to ensure API stability and performance
Access to 800,000+ economic time series and 100+ data sources
0 GitHub stars

使用场景

Performing historical economic analysis and backtesting for academic research
Monitoring data release schedules and upcoming publication dates for policy studies
Generating real-time macroeconomic dashboards and financial reports

关于

主要功能

Built-in data transformations including percent change, log scales, and frequency aggregation
Vintage (revision) data retrieval via ALFRED integration for historical accuracy
Regional economic data mapping and GeoFRED support for geographic analysis
Automated rate limiting and retry logic to ensure API stability and performance
Access to 800,000+ economic time series and 100+ data sources
0 GitHub stars

使用场景

Performing historical economic analysis and backtesting for academic research
Monitoring data release schedules and upcoming publication dates for policy studies
Generating real-time macroeconomic dashboards and financial reports