bcra-macro

Retrieve Argentine macroeconomic time series from the BCRA Monetary Statistics API.

173|28|Updated Jun 2, 2026

Search Tags:#api #finance #data-analytics #macroeconomics #argentina #bcra

Ready to run

npx skills add https://github.com/gauss314/skills --skill bcra-macro

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bcra-macro
Source: https://github.com/gauss314/skills/tree/main/skills/bcra-macro
Command: npx skills add https://github.com/gauss314/skills --skill bcra-macro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, and includes references (resource) components.

What problem does it solve?

This Skill solves the difficulty of manually tracking and aggregating hundreds of official Argentine macroeconomic series, providing a programmatic interface to the BCRA's monetary statistics.

Core Features & Use Cases

Historical Data Retrieval: Fetch long-term time series for variables like international reserves, exchange rates, and inflation.
Automated Cataloging: Query the full catalog of 638 national series to identify relevant indicators for economic modeling.
Use Case: A researcher needs to analyze the correlation between the Base Monetaria and the IPC over the last decade; this skill automates the retrieval and cleaning of these specific series from the BCRA API.

Quick Start

Use the bcra-macro skill to fetch the historical daily data for the international reserves variable with ID 1 from 2020 to the present.

Frequently Asked Questions about bcra-macro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I retrieve Argentine macroeconomic time series from the BCRA API using Python?▼

You can retrieve historical Argentine macroeconomic data using this Skill by querying the BCRA API to fetch daily time series for 638 national variables, including international reserves, exchange rates, and inflation, directly into pandas DataFrames.

What Argentine financial indicators are available for economic research and forecasting?▼

Available indicators include interest rates, exchange rates, international reserves, and monetary aggregates. The Skill queries the BCRA API catalog of 638 national variables, supporting economic research and forecasting by providing paginated historical time series extraction.

Can I automate the cataloging and extraction of BCRA monetary statistics with pandas?▼

Yes, this Skill automates cataloging and extraction of BCRA monetary statistics by querying the full catalog of 638 national variables and retrieving paginated historical time series, outputting cleaned data ready for pandas economic analysis.

Does the bcra-macro skill support long-term historical data retrieval for Base Monetaria analysis?▼

Yes, this Skill supports long-term historical data retrieval for Base Monetaria analysis by fetching time series from the BCRA API over custom date ranges, automating the retrieval and cleaning of these specific monetary series for economic modeling.

What is the best way to analyze the correlation between Argentine inflation and monetary aggregates from official data?▼

The best way is using this Skill to programmatically fetch and clean official BCRA time series, retrieving specific variables like the IPC and Base Monetaria over your analysis period to analyze their correlation directly within your Python environment.

Are there limitations when fetching macroeconomic data from the BCRA API for Argentina?▼

Limitations include the need to handle paginated data extraction for large historical requests and identifying the correct series ID among 638 available national variables to ensure accurate retrieval of the desired monetary statistics from the API.