Official-source macro data in your research stack.
Query releases in DuckDB, schedule research pipelines with Apache Airflow, extract data with Singer and Meltano, or ground a Hermes assistant in macro evidence. Connect your own applications with clients across six language ecosystems.
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Follow each platform's catalogue or registry for installation, and the guide for capabilities and access requirements. Project marks belong to their respective owners.
Additional community contributions.
Python data providers merged into FinRL and FinRL-Meta supply FX time series and macroeconomic features for reinforcement-learning trading research.
Our contribution to AWS Labs' CLI Agent Orchestrator is an MCP macro-release research example and guide, demonstrating how an agent can use economic releases, calendars and indicator histories.
Languages and SDKs
Financial-data clients for 7 languages.
Each client installs from its public package registry or source repository, with its own endpoint coverage and language-native interfaces.
PyPI
Python
Typed synchronous and asynchronous clients for macro releases, FX history, calendars, positioning and commodities. Python 3.9 or newer.
Use a language client or REST API for a research pipeline, and MCP for compatible AI assistants. Keep units, sources, access windows and timing status alongside the values you consume.