This GitHub repository shows data collection and analysis for “Regulatory Fragmentation” paper by Kalmenovitz, Lowry and Volkova, The Journal of Finance (Forthcoming)

Reconstructing the U.S. hedge fund industry from 9 public regulatory data sources — balance sheets, derivatives, borrowing, positioning, and fund-level holdings.

Automated pipeline for extracting drug safety information from FDA Structured Product Labels (SPL) using NLP and MedDRA mapping for pharmacovigilance research.

Public dataset and Python runtime library for Japanese chemical law screening.

Audrent's paid MCP server for U.S. Federal Register documents — search, retrieval, and watchlists for AI agents.

Python library for checking chemicals against Japan's published risk assessment lists.

Public runtime library for microorganism risk-reference data derived from NITE/MRINDA.