Features
Natural language query for pricing questions (Signal Ask beta)
Benchmark negotiated rates by payer, provider, and code
Compare network plans and configurations
Market-level variation analysis
Custom data delivery in preferred formats
Monthly data quality scoring across networks
Coverage of CSTM and LOCAL codes
Medicare benchmarked rates
Over three years of longitudinal history
Provider and regional tagging
Service line analysis with percentage of Medicare
API integration for live pricing data
Bulk data feeds for enterprise use
Claims-level repricing for cost insights
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
