SQL Query Assistance Technical Specs

Purpose & Functionality

Internally developed by Monte Carlo, including the agent orchestration, recommendation logic, context and user interface.

Generates intelligent recommendations for custom data quality monitors; assesses schema, metadata, query history, and data samples to detect patterns and coverage gaps; recommends monitor logic (e.g., anomaly detection, null thresholds, formatting consistency.)

Model Details & Testing

Source Foundational Models

Monte Carlo uses models Anthropic Claude models accessed via Amazon Bedrock. Because not all models are available in all regions, please reference the chart below to determine which model and version will be used.

Testing [Application]

Monte Carlo only uses internal test data for testing purposes. No customer data is used to test or train.

Testing [Foundational Model]

Responsibility of the AI model provider.

Fairness and Bias

Not applicable due to domain-specific, non-human context