Do I need a FRED API key to use this skill?

Yes, you must register for a free API key at the St. Louis Fed website and set it as an environment variable (FRED_API_KEY) for the skill to function.

Does this skill support data transformations like percent change?

Absolutely. You can specify transformations such as percent change, change from year ago, natural log, and compounded annual rates directly in your queries.

Can I get data for specific regions or states?

Yes, the skill supports GeoFRED endpoints, allowing you to query regional economic data at the state, county, and MSA levels.

What types of economic indicators can I retrieve?

You can access a wide range of data including GDP, Unemployment Rate (UNRATE), Consumer Price Index (CPI), Federal Funds Rate, and 10-Year Treasury rates.

How does it handle data revisions?

The skill integrates with ALFRED, enabling you to access vintage data to see exactly what was reported at a specific point in history before revisions were made.

FRED Economic Data

Name: FRED Economic Data
Author: K-Dense-AI

byK-Dense-AI

•

7,774

数据科学与机器学习

Queries the FRED API for over 800,000 economic time series to support macroeconomic research and financial analysis.

关于

The FRED Economic Data skill provides a robust interface for Claude to interact with the Federal Reserve Economic Data (FRED) database maintained by the St. Louis Fed. It enables users to fetch, filter, and transform essential indicators such as GDP, inflation, interest rates, and employment data from over 100 global sources. With specialized support for ALFRED vintage data and GeoFRED regional mapping, this skill is designed for analysts, economists, and researchers who need high-fidelity economic data integrated directly into their AI-driven development or research workflows.

主要功能

Query regional and geographic economic data through GeoFRED endpoints
Integrated rate limiting and automatic retry logic for reliable data fetching
7,774 GitHub stars
Access 800,000+ economic time series from 100+ global sources
Apply built-in transformations like percent change, log, and compounded annual rates
Retrieve historical vintage data via ALFRED to analyze data revisions

使用场景

Financial market research and interest rate monitoring for investment strategies
Regional economic studies and geographic data visualization projects
Macroeconomic trend analysis and automated forecasting models

关于

主要功能

Query regional and geographic economic data through GeoFRED endpoints
Integrated rate limiting and automatic retry logic for reliable data fetching
7,774 GitHub stars
Access 800,000+ economic time series from 100+ global sources
Apply built-in transformations like percent change, log, and compounded annual rates
Retrieve historical vintage data via ALFRED to analyze data revisions

使用场景

Financial market research and interest rate monitoring for investment strategies
Regional economic studies and geographic data visualization projects
Macroeconomic trend analysis and automated forecasting models