Features
Natural language querying of databases
Context management suite (encode definitions, metrics, policies)
SQL pattern matching and validation
Semantic model alignment (metrics, dimensions, definitions)
Multi-source context ingestion (Notion, Slack, email, etc.)
Golden source verification (KPI-verified, SQL-matched, definition-applied)
Full data lineage tracking (source to model to metric to answer)
Usage signals (query frequency, dashboard integration)
Role-based access control (RBAC) and row-level security
Embeddable agent frontend
AI dashboards and email scheduling
Observability and evaluation suite
Model Context Protocol (MCP) integration
Credit-based consumption pricing
AI-generated pricing intelligence reports from transparency data
Benchmark rate trends and spot anomalies
Row-level visibility traceable to original MRFs
Spreadsheet-like interface for exploring data
Integrates with CRM, RCM, EMR via API
SOC 2 Type II compliant data security
Sample reports for quick evaluation
Processes 15+ trillion rates for deep insights
National coverage of healthcare price data
Utilization data analysis (allowed amount counts)
Physician assistant reimbursement analysis by state
Provider prospecting for network teams
Independent Dispute Resolution (IDR) support
Drug price transparency analysis (with noted gaps)
