fred-economic-data

Queries the FRED API for macroeconomic and financial time series data using Python scripts.

1|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/yf8578/clawomics --skill fred-economic-data-yf8578
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fred-economic-data
Source: https://github.com/yf8578/clawomics/tree/main/skills/fred-economic-data
Command: npx skills add https://github.com/yf8578/clawomics --skill fred-economic-data-yf8578

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 U.S. and international economic time series data, enabling in-depth macroeconomic analysis and research.

Core Features & Use Cases

  • Comprehensive Data Access: Query over 800,000 economic time series from 100+ sources, including GDP, unemployment, inflation, interest rates, and exchange rates.
  • Flexible Querying: Search series by keywords, categories, and tags; access historical and real-time (vintage) data.
  • Use Case: A financial analyst can use this Skill to retrieve historical GDP growth rates and inflation data to build a predictive model for future economic trends.

Quick Start

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

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 macroeconomic time series data using the FRED API?

To retrieve macroeconomic time series data using the FRED API, use Python scripts with the requests and pandas libraries to authenticate, query keywords, and download historical economic records.

Do I need an API key to download historical economic data for macroeconomic analysis?

Yes, you need an API key to download historical economic data for macroeconomic analysis, as the Skill requires authentication to query the Federal Reserve Economic Data repository.

Can I search and filter international economic time series by categories and tags?

You can search and filter international economic time series by categories and tags, accessing over 800,000 records from 100+ sources for targeted macroeconomic research and forecasting.

How do I access real-time vintage economic data for historical analysis?

Access real-time vintage economic data for historical analysis by querying the FRED API, which supports retrieving historical and real-time macroeconomic time series through flexible Python scripts.

What's the best way to use pandas for manipulating financial time series data?

The best way to use pandas for manipulating financial time series data is to pair it with the requests library to fetch and structure FRED API responses into dataframes for analysis.

Does this approach work for retrieving specific indicators like GDP and inflation rates?

Yes, this approach works for retrieving specific indicators like GDP and inflation rates, allowing you to filter the FRED repository to download targeted historical and real-time economic data.