fred-economic-data

Retrieve and process economic time series data from the FRED API.

Updated Mar 10, 2026

Search Tags:#api #time series #finance #economic data #macroeconomics #fred

Ready to run

npx skills add https://github.com/felixboehm/biochem-allergy --skill fred-economic-data-felixboehm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fred-economic-data
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/fred-economic-data
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill fred-economic-data-felixboehm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides access to a vast repository of economic data, enabling users to retrieve, analyze, and visualize key indicators without needing to navigate complex APIs or data sources directly.

Core Features & Use Cases

Comprehensive Data Access: Query over 800,000 economic time series from FRED, covering GDP, unemployment, inflation, interest rates, and more.
API Integration: Seamlessly integrate with the FRED API for programmatic data retrieval.
Data Exploration: Discover series by keywords, categories, and tags.
Use Case: A financial analyst can use this Skill to fetch historical GDP and inflation data for the past decade to identify economic trends and inform investment strategies.

Quick Start

Use the fred-economic-data skill to get the latest GDP observations.

Frequently Asked Questions about fred-economic-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I retrieve economic time series data from the FRED API using Python?▼

To retrieve economic time series data from the FRED API, this Skill uses Python requests to fetch and pandas to process macroeconomic indicators. You can query over 800,000 series covering GDP, inflation, and unemployment for analysis.

What macroeconomic indicators can I access for historical financial research?▼

For historical financial research, you can access macroeconomic indicators including GDP, unemployment rates, inflation, and interest rates. The Skill facilitates data discovery by keywords, categories, and tags for global macroeconomic analysis.

Can I use pandas to process and transform international economic data?▼

Yes, you can use pandas to process and transform international economic data retrieved via the FRED API. The Skill supports data transformation and historical analysis of U.S. and international economic indicators through a Python interface.

Do I need a FRED API key to query macroeconomic time series?▼

To query macroeconomic time series from FRED, API integration is required to seamlessly retrieve data programmatically. This Skill handles the API requests to fetch economic observations for financial analysis and policy studies.

What's the best way to discover specific economic data series by tags?▼

The best way to discover specific economic data series is by using keywords, categories, and tags. This Skill facilitates data exploration across 800,000 time series to find exact macroeconomic indicators for your analysis.

Are there limitations when fetching large volumes of economic time series data?▼

When fetching large volumes of economic time series data, processing depends on the requests and pandas dependencies. This Skill provides access to vast repositories but complex transformations may require additional data manipulation steps.