What problem does it solve? Analyzing and segmenting your user base requires writing complex API calls against Datadog's RUM Audience Management API, and enriching audience data with external CRM or reference table sources involves intricate connection configuration that is easy to get wrong. ## Core Features & Use Cases - User and Account Querying: Search, filter, sort, and wildcard-match users and accounts using flexible query syntax, including event-filtered queries based on RUM behavior like errors or slow page loads. - Facet and Mapping Discovery: Retrieve value distributions for any attribute and inspect available entity attributes before building queries. - Data Connection Management: Create, update, list, and delete connections that join CRM or reference table data (subscription tier, lifetime value) to user and account profiles, with confirmation safeguards for write and delete operations. - Use Case: A customer success manager asks to find enterprise accounts with declining engagement, then enriches the results with CRM health scores to prioritize outreach. ## Quick Start Ask the agent to find all US users who experienced errors in the last week and show their email, error count, and last seen date.