Health Insurance Python Packages

actuarialpy

Core actuarial analysis tools for Python: experience analysis, per-exposure metrics, trend, completion, seasonality, credibility, exposure, and TVM.

ratingmodels

Pricing and rate-indication tools for Python: manual rating, experience rating, GLM relativities, retention gross-up, renewal, and audit trails.

bag-epl-mcp

MCP server for Swiss BAG reimbursement lists: Spezialitätenliste (SL), GGSL, MiGeL – Swiss social law navigator in natural language

lossratio

Loss ratio analysis and projection for long-term health insurance. In development.

payer-agent-audit

Governance patterns for autonomous AI agents in health-insurance / payer operations — UM, prior auth, claims/appeals. Aligned to the NAIC Model Bulletin framework. Reference IP; makes no medical-necessity determination.