fred-economic-data

Retrieve economic time series data from the FRED API.

2|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill fred-economic-data
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fred-economic-data
Source: https://github.com/Weiwei-Mao/hydrology-skills/tree/main/hydrology-skills/fred-economic-data
Command: npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill fred-economic-data

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides programmatic access to a vast repository of economic time series data, eliminating the need for manual data collection from disparate sources.

Core Features & Use Cases

  • Comprehensive Data Access: Query over 800,000 economic time series from 100+ sources, including GDP, unemployment, inflation, interest rates, and more.
  • Flexible Querying: Search series by keywords, filter by category, and retrieve data with various transformations and frequencies.
  • Use Case: Analyze historical inflation trends by fetching monthly CPI data, or track real-time GDP growth by downloading quarterly observations.

Quick Start

Use the fred-economic-data skill to get the latest unemployment rate 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 like GDP and inflation rates programmatically?

You retrieve economic time series data by querying the FRED API, which provides access to over 800,000 series from 100+ sources including GDP, unemployment, inflation, and interest rates.

Can I download historical CPI data with monthly frequency for macroeconomic analysis?

Yes, you can download historical CPI data for macroeconomic analysis by filtering series by keywords and specifying monthly frequency aggregation in your FRED API query.

Does accessing FRED API economic indicators require a specific Python environment?

Accessing FRED API economic indicators requires a Python environment with the requests and pandas dependencies installed to handle API calls and structure the retrieved time series data.

What is the best way to transform vintage economic data for financial research?

The best way to transform vintage economic data for financial research is using the FRED API's built-in options for data transformation, frequency aggregation, and vintage data retrieval.

How do I search for specific economic indicators across multiple sources using the FRED API?

You search for specific economic indicators across multiple sources using the FRED API by querying with keywords and filtering by category to locate relevant time series data.