Monte Carlo
Data and AI observability platform that detects and fixes data quality and agent issues.
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Claim this pageAbout Monte Carlo
Monte Carlo provides observability for data pipelines and AI systems. The platform monitors data quality across warehouses, lakes and pipelines, detects incidents such as freshness or volume anomalies, and traces them back to their root cause. It has extended into monitoring AI agents and uses an AI teammate called Bayes that groups related alerts and proposes fixes. An MCP server and agent toolkit let engineers query the platform from their own tools. It is used by data engineers, AI engineers and data leaders at mid-market and large enterprises.
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Features
Monitor data freshness and volume
Detect data anomalies automatically
Trace incidents to root cause
Group related alerts into one issue
Observe AI agent behavior
Map data lineage
Expose data to tools through an MCP server