Databuddy
Track product behavior, performance, and errors with an AI analytics assistant
Turn AI-agent conversations into product analytics

Voker analyzes interactions between AI agents and their users. Its SDK captures conversational events and turns them into structured signals such as user intent, corrections, and resolutions. Product managers and analysts can inspect those signals alongside conversation timelines to identify knowledge gaps, recurring failures, and changes in agent performance.
Python and TypeScript integrations connect to common model providers and agent frameworks. Teams can relate conversation findings to existing user data when evaluating business outcomes, while Smart Skills and optimization features aim to translate failures into improvements. Event allowances and retention periods vary by plan. Enterprise options include self-hosted deployment and single sign-on, and some automated optimization capabilities remain marked as beta.
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