FRED Economic Data Access
技能 已验证 活跃Part 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.
功能
- 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
使用场景
- 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
非目标
- 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
安装
npx skills add AlterLab-IEU/AlterLab-Academic-Skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
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