For anyone building trading bots, analytics dashboards or simply automating market monitoring, there is a new tool: Eulerpool — "The Financial Data Company" — has released its official Python library eulerpool 1.0.1 on PyPI. It is an SDK for financial data covering stocks, ETFs, forex, cryptocurrencies, bonds, fundamentals and macroeconomics.
What's inside
According to the package description, it offers a single entry point to a very broad dataset:
- 100,000+ instruments — from stocks and ETFs to currency pairs and crypto assets;
- 375+ API endpoints — covering quotes, fundamental metrics and macroeconomic indicators;
- 100,000 free calls per month — a starter quota for developers.
Why it matters to those working with crypto and payments
The SDK has no direct link to virtual cards, but there is practical value for the audience. Automating routine tasks — currency conversion, tracking rates when topping up cards, calculating fees and building internal dashboards — usually requires a data source that can be queried programmatically rather than manually. An official Python SDK lowers the barrier: no need to hand-craft requests and parse responses, just plug in the library.
Limitations to keep in mind
A free quota of 100,000 calls sounds generous, but frequent polling of quotes across dozens of instruments burns through it quickly — especially for real-time monitoring. Heavy workloads will likely require a paid plan, the terms of which are not disclosed in the package description. It is also worth remembering that data quality and latency depend on the specific provider and are not guaranteed by the mere existence of an SDK.
In short
Eulerpool 1.0.1 is a developer library, not a ready-made product for end users. If you write finance- or crypto-related code, it is another option for getting structured data via API. If not, you can safely skip this news.
Not financial advice.
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