fred-economic-data

You can fetch macroeconomic time-series data from FRED using the FREDQuery class, which retrieves series metadata, observations, and regional values without manual HTTP requests. The skill handles endpoints for GDP, unemployment, inflation, and regional indicators.

The best way to access Federal Reserve Economic Data for dashboards is through a unified FREDQuery interface that covers series, observations, categories, tags, vintages, releases, sources, and GeoFRED regional endpoints with built-in retry and caching for reliable data retrieval.

Yes, you can retrieve regional economic indicators from GeoFRED programmatically. The FREDQuery class accesses GeoFRED regional endpoints, allowing you to surface regional values alongside standard macroeconomic time-series observations for analysis.

Yes, the FRED API client supports applying transformations to time-series observations. You can retrieve GDP, unemployment, and inflation data while applying transformations to suit macroeconomic research, academic analysis, and policy evaluation workflows.

You need the requests Python package installed to use this FRED data fetch skill. The skill depends on requests for HTTP access to FRED API endpoints, with built-in retry and caching to ensure reproducible macroeconomic data retrieval.

Available macroeconomic indicators through the Federal Reserve API include GDP, unemployment, and inflation data, plus U.S. and international indicators. The FREDQuery interface accesses series, observations, categories, tags, vintages, releases, and sources for comprehensive analysis.