Metadata Extraction and Cataloging

Purpose

Metadata Extraction and Cataloging is designed to automatically extract schema, field-level metadata, and quality metrics from actuarial model datasets used in insurance contexts.

Primary users

The primary user is not specified in the provided information, although the agent is associated with AQS and owned by Ronan Davit.

Where it fits (process/stage/trigger)

This agent fits into actuarial data preparation and cataloging workflows where model input tables, data dictionaries, and pipeline outputs need to be reviewed, documented, or organized.

Key capabilities / workflow

The agent analyzes actuarial model datasets, extracts schema and field-level metadata, evaluates available quality metrics, validates whether metadata is complete, and generates catalog-ready information based on the provided dataset sources.

Inputs

Typical inputs are model input tables, data dictionaries, and pipeline outputs. No additional input requirements were specified.

Outputs / Deliverables

Typical outputs are extracted schema information, field-level metadata, and quality metrics. Any additional deliverables are not specified.

Value

The agent helps streamline metadata extraction and cataloging for actuarial model datasets, supporting more consistent documentation and easier review of insurance data assets.