What kind of economic data can I access?

You can access a vast range of data including GDP, inflation (CPI), unemployment, interest rates, exchange rates, housing starts, and M2 money stock.

Can I transform the data using this skill?

Yes, the skill supports various transformations such as percent change, change from year ago, compounded annual rate of change, and natural logs.

Do I need an API key to use this skill?

Yes, you must register for a free API key at the FRED website (fredaccount.stlouisfed.org) and set it as an environment variable named FRED_API_KEY.

Does this skill support regional or state-level data?

Yes, it includes GeoFRED endpoints that allow you to retrieve economic data categorized by state, county, and Metropolitan Statistical Areas (MSAs).

Can I view historical revisions of economic data?

Yes, the skill provides access to ALFRED (Archival FRED), which allows you to retrieve vintage data versions to see how data appeared on specific dates in the past.

FRED Economic Data

Name: FRED Economic Data
Author: lingxling

bylingxling

•

Ciencia de Datos y ML

Queries the Federal Reserve Economic Data (FRED) API to retrieve and analyze over 800,000 global economic time series and regional indicators.

FRED Economic Data is a powerful Claude Code skill that provides seamless programmatic access to the Federal Reserve Bank of St. Louis's massive database. It allows users to search and fetch critical economic indicators such as GDP, CPI, unemployment rates, and interest rates from over 100 sources. Beyond simple data retrieval, the skill supports complex data transformations like percent changes and log scales, frequency aggregation, and access to historical 'vintage' data via ALFRED. It is an essential tool for financial analysts, researchers, and developers building data-driven macroeconomic models or automated economic dashboards.

Características Principales

01Regional economic mapping via GeoFRED for state and local analysis

02Access to 800,000+ economic time series from 100+ global sources

03Advanced data transformations including percent change and annual growth rates

0439 GitHub stars

05Access to historical vintage data (ALFRED) to view data as originally published

06Real-time data retrieval for GDP, CPI, unemployment, and interest rates

Casos de Uso

01Building business intelligence dashboards with live economic indicators

02Macroeconomic trend analysis and automated financial market research

03Academic research requiring historical revisions or regional economic datasets

Características Principales

01Regional economic mapping via GeoFRED for state and local analysis

02Access to 800,000+ economic time series from 100+ global sources

03Advanced data transformations including percent change and annual growth rates

0439 GitHub stars

05Access to historical vintage data (ALFRED) to view data as originally published

06Real-time data retrieval for GDP, CPI, unemployment, and interest rates

Casos de Uso

01Building business intelligence dashboards with live economic indicators

02Macroeconomic trend analysis and automated financial market research

03Academic research requiring historical revisions or regional economic datasets