Voker
Agent analytics platform for monitoring and optimizing AI agents.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
--
Last Updated
Aug 14, 2026
Overview
What is Voker?
Voker is an Agent Analytics Platform designed for AI product teams to monitor, optimize, and analyze the behavior and performance of their AI agents in production. By installing a lightweight, provider-agnostic SDK, it automatically handles intent, correction, and resolution detection from user-to-agent interactions. It transforms unstructured conversational data into structured, self-service insights, helping teams fix agent issues before users complain and accurately connect agent metrics to business outcomes like conversion, retention, and revenue.
What is Voker used for?
Top Features
- Automatic Intent, Correction, and Resolution Detection
- Queryable Conversation Timelines
- Agent Performance Tracking and Intelligence
- User Behavior Insights & Friction Detection
- Self-Service Analytics Dashboard
- Provider Agnostic Integration (OpenAI, Anthropic, Gemini, Langchain, etc.)
- Agent Auto-Optimization (Beta)
How to use Voker?
To use Voker, first install the lightweight SDK using your preferred framework package manager (e.g., pip install voker). Then, connect your agents by adding the provided code snippet and initializing it with your API key to start automatic data collection. Finally, log into the Voker dashboard to start analyzing queryable timelines and performance metrics.
Alternative Tools
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Pros & Cons
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Use Cases
- Monitor live AI agent interactions to catch user friction and prevent customer churn.
- Track and prove the ROI of AI investments by correlating conversational data with business outcomes.
- Provide product managers and business teams with self-service dashboard insights without relying on engineers.
- Identify knowledge gaps and track agent performance improvements over time.
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