The Data Profiling Agent deeply analyzes datasets to generate comprehensive profiles, detect anomalies, and compute key statistics. It acts as the first line of defense for your data quality needs.
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Where every decision is powered by reliable, self-healing data.
Profiling that feeds policy, governance, and AI readiness.
Powered by the xLake Reasoning Engine, the Data Profiling Agent works in the background—profiling, summarizing, and sharing what it finds with the rest of ADM
The Data Profiling Agent is part of a multi-agent system—working alongside other specialized agents to share context, coordinate actions, and resolve issues faster. This agent-to-agent collaboration drives smarter decisions and scalable data governance.
Continuously monitors, detects, and remediates data quality issues, ensuring AI-ready data.
Monitors pipeline execution in real time to detect failures, optimize performance, and maintain pipeline reliability.
Tracks data flow across systems to uncover dependencies, trace root causes, and power intelligent decisions.
CSV, Parquet, SQL tables, S3, HDFS, relational databases, and more.
Through distribution analysis, statistical deviation, and outlier detection.
Yes. Profiling can be scheduled, event-triggered, or continuous.
Yes. Charts and summaries are available via the Business Notebook and agent interface.
It feeds foundational metadata and statistics into quality, classification, and governance agents.
On schedule, trigger, or continuous monitoring—configurable per pipeline or dataset.
Yes. Through HILT, users can approve, refine, or dismiss annotations and rule suggestions.
By identifying normal ranges, formats, and value distributions, agents can score and prioritize anomalies more intelligently.
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