Financial Data API

Use Cases

Built for fintechs, researchers, portfolio managers, and risk teams.

Frequently asked questions

Eulerpool powers fintech applications, portfolio management tools, quantitative research platforms, risk and compliance systems, AI-powered financial agents, and academic research. The API provides equities, fixed income, FX, commodities, and macroeconomic data via a single REST interface.

Yes. Eulerpool is used in production by hedge funds, fintech startups, and institutional investors. The API delivers 99.99% uptime, sub-10ms latency, and scales to millions of requests per day. Enterprise SLAs are available for mission-critical applications.

Yes. The free tier (1,000 calls/day) is suitable for personal projects, prototypes, and academic research. Paid plans support commercial use with higher rate limits, real-time data, and priority support. No usage restrictions on what you build.

Most developers start with an SDK (Python, JavaScript, Go) or call the REST API directly. Common integration patterns include data pipelines (scheduled pulls), real-time dashboards (WebSocket), AI agent tools (MCP server), and Excel add-ins for analysts.

Eulerpool combines institutional-grade coverage (90+ exchanges, 100,000+ instruments) with developer-friendly access (free tier, self-serve signup, structured JSON). We are AI-native with a native MCP server, and our data is point-in-time and survivorship-bias-free for research.