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fred-economic-data

Retrieve and structure FRED economic time series via API queries.

203|27|Updated Apr 19, 2026
Search Tags:#api#time series#data retrieval#macroeconomics#fred#data transformations#research dataset
One-click install
npx skills add https://github.com/franklee16/academic-research-skills --skill fred-economic-data-franklee16
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fred-economic-data
Source: https://github.com/franklee16/academic-research-skills/tree/main/data-sourcing/fred-economic-data
Command: npx skills add https://github.com/franklee16/academic-research-skills --skill fred-economic-data-franklee16

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the hassle of manually finding, retrieving, and organizing macroeconomic time series by automating FRED API queries so your research can start from clean, ready-to-use indicator data.

Core Features & Use Cases

  • Time series discovery and retrieval: Search series by keywords and pull observations for indicators such as GDP, unemployment, inflation, interest rates, housing, and exchange rates.
  • Metadata, categories, and release schedules: Get series metadata, browse categories, and retrieve release dates so your workflow aligns with publication timing.
  • Transformations and aggregation: Apply units transformations (for example percent change or logs) and change frequency (daily/weekly/monthly/quarterly/annual) for analysis-ready series.
  • Real-time (vintage) and regional data support: Use ALFRED vintage dates for historical revisions and GeoFRED-style regional mappings to support policy and comparative research.
  • Use Case: When building a forecasting or policy analysis dataset, fetch a set of FRED indicators (e.g., GDP, UNRATE, CPIAUCSL, FEDFUNDS, DGS10), normalize them with transformations, and produce a comparison table aligned to a common time window.

Quick Start

Use the fred-economic-data skill to query the latest observations for specific FRED series (for example GDP and UNRATE) within a defined date range for your macroeconomic analysis.

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 FRED time series data for macroeconomic research?▼

Retrieve FRED time series data by querying specific series observations, metadata, and release schedules using a valid FRED API key. The skill structures the returned data for academic macroeconomic and financial research workflows.

Can I apply data transformations to FRED observations for analysis?▼

You can apply units transformations like percent change or logs and change frequency across daily, weekly, monthly, quarterly, and annual intervals to FRED observations. This produces analysis-ready series aligned to your specific time window for comparative research.

Do I need a FRED API key to pull economic indicators?▼

You need a valid FRED API key to pull economic indicators and access endpoints for series, categorization, releases, tags, sources, and GeoFRED data. This key is required for querying time series observations and applying units and frequency transformations.

Does this support vintage data revisions and regional GeoFRED datasets?▼

Yes, it supports ALFRED vintage dates for historical time-series revision analysis and GeoFRED-style regional mappings for policy and comparative research. These features allow you to track historical data revisions and map regional economic datasets accurately.

What is the best way to build a macroeconomic forecasting dataset?▼

Fetch a set of FRED indicators like GDP, UNRATE, and CPIAUCSL, normalize them with units and frequency transformations, and produce a comparison table aligned to a common time window. This creates a ready-to-use dataset for forecasting or policy analysis.

How does FRED series discovery work for inflation and interest rate data?▼

Search series by keywords to discover and pull observations for indicators like inflation, interest rates, housing, and exchange rates. You can also browse categories and retrieve release dates to align your workflow with publication timing.

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