Do I need an API key to use this skill?

Yes, you must obtain a free 32-character API key from the Federal Reserve Bank of St. Louis (FRED) account portal and set it as an environment variable named FRED_API_KEY.

What is the difference between FRED and ALFRED in this skill?

FRED provides current economic data, while the ALFRED integration allows you to retrieve 'vintage' data, which shows exactly what the economic data looked like on specific dates before subsequent revisions were made.

Can this skill handle data transformations?

Yes, it supports built-in transformations such as percent change, year-over-year change, natural logs, and frequency aggregation, such as converting daily data to monthly averages.

What data can I access with the FRED Economic Data skill?

You can access over 800,000 time series including GDP, unemployment rates, CPI (inflation), interest rates, exchange rates, and housing data from over 100 global sources.

FRED Economic Data Access

Name: FRED Economic Data Access
Author: henriquescastilho

byhenriquescastilho

•

Ciencia de Datos y ML

Provides programmatic access to over 800,000 economic time series from the Federal Reserve Economic Data (FRED) database for advanced macroeconomic analysis and research.

This skill enables Claude to interact directly with the Federal Reserve Bank of St. Louis FRED API, allowing users to retrieve, transform, and analyze a vast repository of economic indicators including GDP, unemployment rates, inflation, and interest rates. It supports complex queries, regional data mapping via GeoFRED, and historical data revisions through ALFRED, making it an essential tool for financial analysts, economists, and researchers performing data-driven market studies or policy evaluations within their development environment.

Características Principales

01Retrieval of historical 'vintage' data and publication revisions via ALFRED

021 GitHub stars

03Automated frequency aggregation (daily to monthly, quarterly, or annual)

04Access to 800,000+ economic time series from over 100 global sources

05Regional economic mapping and GeoJSON shape data through GeoFRED

06Advanced data transformations including percent change, log, and compounded annual rates

Casos de Uso

01Generating regional economic visualizations using GeoFRED and state-level indicators

02Building automated macroeconomic dashboards and financial reporting tools

03Conducting historical economic research using real-time and vintage data revisions

Características Principales

01Retrieval of historical 'vintage' data and publication revisions via ALFRED

021 GitHub stars

03Automated frequency aggregation (daily to monthly, quarterly, or annual)

04Access to 800,000+ economic time series from over 100 global sources

05Regional economic mapping and GeoJSON shape data through GeoFRED

06Advanced data transformations including percent change, log, and compounded annual rates

Casos de Uso

01Generating regional economic visualizations using GeoFRED and state-level indicators

02Building automated macroeconomic dashboards and financial reporting tools

03Conducting historical economic research using real-time and vintage data revisions