GALENAPI

Changelog

New endpoints, data source updates, and breaking changes.

v2.0.0

Pricing Restructure: Free Databases & Annual Billing

  • Explorer (Free) tier expanded: 1,000 requests/day (was 100), 30/min burst (was 10)
  • All database endpoints now free: cBioPortal, GTEx, STRING, co-mutations
  • Hypothesis endpoints (frontier, knowledge gaps) now free
  • Do-calculus moved from Pro to Researcher — full causal inference at $49/mo
  • Annual billing: Researcher $39/mo, Pro $159/mo (save 20%)
  • Enterprise pricing anchored at from $999/mo
  • Updated rate limit tables, comparison features, and FAQ across all docs
v1.1.0

Documentation Overhaul & 12 Newly Documented Endpoints

  • 40+ endpoints now documented across 7 modules (12 previously undocumented endpoints added)
  • All endpoint paths verified against production API
  • New: Authentication reference page with code examples in Python, cURL, and TypeScript
  • New: API Versioning documentation with stability guarantees
  • New: Guides section — AI Agents integration guide, Python Quickstart guide
  • Knowledge graph: 855K+ entities, 7.7M+ relationships across 10+ databases
  • Visual refresh: unified indigo brand identity with main site
  • Updated OpenAPI spec, llms.txt, and llms-full.txt with correct paths
v1.0.0

Initial Public Release

  • 40+ API endpoints across 7 modules (Knowledge Graph, Databases, Causal, Predictions, Hypotheses, Patient, System)
  • 10+ integrated biomedical databases (ChEMBL, cBioPortal, STRING, UniProt, GTEx, Reactome, ClinVar, and more)
  • 855K+ entities and 7.7M+ relationships in the knowledge graph
  • Pearl Causal Hierarchy annotations (L1, L2, L3) on all relationships
  • Causal inference endpoints: intervention simulation, do-calculus, counterfactual queries
  • Patient interpretation: multi-mutation profiles, treatments, resistance analysis, trial matching
  • 4-tier pricing: Explorer (Free), Researcher ($49/mo), Pro ($199/mo), Enterprise (Custom)
  • X-API-Key authentication with per-tier rate limiting
  • Agent-friendly documentation: llms.txt, OpenAPI 3.1 spec, JSON-LD structured data