The challenge
A finance PhD program needed survivorship-bias-free data for cross-sectional asset pricing research. CRSP + Compustat licenses cost $25,000+ per year and required institutional procurement processes. Graduate students needed programmatic access for large-scale empirical studies.
The solution
Eulerpool's free tier provided 1,000 API calls per day — enough for comprehensive factor research. The Python SDK and R package let students query point-in-time fundamentals, price data, and financial ratios directly from their research notebooks. Delisted companies are included, eliminating survivorship bias.
The results
The department replaced their CRSP + Compustat subscription entirely for student research projects. Graduate students published papers using Eulerpool data with full reproducibility. Annual savings: $25,000+. Student access: unlimited (free tier per student).