What problem does it solve?
This Skill eliminates the manual effort of locating, querying, and cleaning large-scale macroeconomic time-series data by providing a unified way to pull FRED series, metadata, and real-time vintage information for research use.
Core Features & Use Cases
- Series lookup & discovery: Search FRED series by keywords and retrieve series metadata (e.g., GDP, CPI, unemployment, interest rates).
- Observations retrieval with transformations: Download observations with units transformations (lin/chg/ch1/pch/pc1/log, etc.) and optional frequency aggregation.
- Policy- and revision-aware analysis: Access vintage (revision) data via ALFRED parameters and schedule/context via release endpoints.
- Regional/geo research support: Pull GeoFRED state/county/MSA/country data and fetch GeoJSON shapes for mapping.
Example: Build an academic macroeconomic dataset by pulling unemployment (UNRATE), inflation (CPIAUCSL), and interest rates (FEDFUNDS), then applying percent-change transformations and aligning them by time for analysis.
Quick Start
Run fred-economic-data to query the FRED series observations for UNRATE starting from 2020-01-01 using percent change from the year ago.