FRED Economic Data Access
Skill Verified ActivePart of the AlterLab Academic Skills suite. Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring U.S. and international economic indicators.
To provide researchers and analysts with a robust and easy-to-use Python interface for accessing and processing U.S. and international economic data from the FRED API.
Features
- Query FRED API for economic time series
- Support for data transformations and frequency aggregation
- Search series by keywords, tags, and categories
- Access regional data via GeoFRED
- Handle API key setup, rate limiting, and errors
Use Cases
- Retrieving historical GDP, inflation, or unemployment data
- Analyzing economic trends using various transformations (e.g., percent change)
- Finding specific economic indicators based on keywords or tags
- Mapping regional economic data like unemployment rates
Non-Goals
- Performing complex statistical modeling or forecasting
- Providing real-time stock market data (focus is on macroeconomic indicators)
- Replacing direct interaction with the FRED website for manual browsing
Installation
npx skills add AlterLab-IEU/AlterLab-Academic-SkillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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