Unstructured data monitoring

Monte Carlo now supports unstructured data monitoring in metric monitors, enabling data and AI teams to apply LLM-powered transformations—such as sentiment analysis, classification, and custom prompts—to text columns from Snowflake and Databricks. Transformed columns can be used in alert conditions and to segment data—no SQL required. Built-in guardrails ensure performance and cost-efficiency at scale. This unlocks observability for LLM and RAG pipelines, allowing users to monitor things like tone drift in generated output, hallucination-prone responses, or consistency between input context and generated text.