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fred-economic-data

Query FRED API for over 800,000 economic time series using Python scripts.

Updated Mar 15, 2026
Search Tags:#api#time series#economic data#macroeconomics#fred#financial research
One-click install
npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill fred-economic-data-sagunkayastha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fred-economic-data
Source: https://github.com/sagunkayastha/claude_skills_collection/tree/main/financial-research/fred-economic-data
Command: npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill fred-economic-data-sagunkayastha

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 over 800,000 economic time series from the FRED database, enabling in-depth macroeconomic analysis and financial research.

Core Features & Use Cases

  • Comprehensive Data Access: Query key economic indicators like GDP, unemployment, inflation, interest rates, and exchange rates.
  • Data Transformation & Analysis: Apply various transformations (e.g., percent change) and aggregations to time series data.
  • Use Case: Analyze historical trends in U.S. inflation by fetching CPI data, applying a year-over-year percentage change transformation, and visualizing the results.

Quick Start

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

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 for macroeconomic analysis?▼

You retrieve economic time series data by querying the FRED API, which provides access to over 800,000 U.S. and international indicators like GDP, unemployment, and inflation. This Skill utilizes Python scripts for data retrieval.

Do I need an API key to access FRED economic data?▼

Yes, accessing FRED economic data requires an API key. You must supply this key to authenticate your requests when using the Python scripts to fetch time series indicators for financial research or policy studies.

Can I apply data transformations to FRED time series in Python?▼

Yes, you can apply data transformations to FRED time series in Python. The Skill supports applying various transformations like percent change and aggregations to the retrieved economic data for deeper macroeconomic analysis.

What's the best way to analyze historical U.S. inflation trends using FRED data?▼

The best way to analyze historical U.S. inflation trends is by fetching CPI data from FRED, applying a year-over-year percentage change transformation, and visualizing the results using Python scripts supported by the requests and pandas libraries.

Does this FRED API Skill support global economic indicators or only U.S. data?▼

This FRED API Skill supports both U.S. and global economic indicators. You can query international time series data for exchange rates, interest rates, and other macroeconomic metrics to support global financial research and economic forecasting.

What Python dependencies are required for querying FRED macroeconomic data?▼

Querying FRED macroeconomic data requires the Python dependencies requests and pandas. These libraries enable the scripts to handle API data retrieval and perform data transformation or aggregation operations on the time series.

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