Voker
Understand how users interact with your AI agents.
Quick verdict
Voker is an analytics platform built specifically for AI product teams who want to monitor, analyze, and improve the performance of their AI agents and conversational products. Rather than relying on generic web analytics tools that were never designed with AI in mind, Voker gives teams a dedicated workspace to track how users engage with their agents, where conversations break down, and how agent behavior evolves over time. It is especially useful for product managers, engineers, and AI developers who are shipping LLM-powered features and need actionable insights beyond simple usage counts. Voker helps teams identify friction points in agent workflows, surface patterns in user queries, and make data-driven decisions about how to tune and improve their AI products. By centralizing agent telemetry and conversation analytics in one purpose-built platform, Voker reduces the guesswork involved in iterating on AI-powered experiences and gives teams the clarity they need to ship better, more reliable agents faster.
Key features
- Conversation-level analytics for AI agents and LLM-powered products
- Session replay and breakdown of where users drop off in agent workflows
- Agent performance monitoring including latency, error rates, and completion rates
- Query pattern analysis to surface common user intents and failure modes
Pros & cons
- +Purpose-built for AI agent analytics, unlike generic tools repurposed for LLMs
- +Gives product teams clear visibility into conversation quality and agent performance
- +Helps teams iterate faster by surfacing actionable data rather than raw logs
- −As a newer platform, integrations with some tech stacks may still be limited
- −Pricing details are not fully transparent on the public website, requiring direct contact
Pricing
Free tier available with limited agent seats and data history
From approximately $49/month for growing teams
Custom enterprise pricing available on request
Who is it for
- →Tracking how users interact with a customer-facing AI chatbot to reduce drop-off
- →Identifying which agent steps cause the most confusion or errors in a product workflow
- →Measuring the impact of prompt or model changes on user engagement and satisfaction
Frequently asked questions
Is Voker free?
Voker appears to offer a free tier that lets small teams get started with basic agent analytics. Paid plans unlock additional seats, longer data retention, and more advanced features.
What is Voker best used for?
Voker is best used for monitoring and improving AI agents and LLM-powered products. It helps product teams understand user behavior, track agent performance, and identify where conversations fail so they can iterate quickly.
What are the best alternatives to Voker?
Alternatives to Voker include Langfuse, Helicone, Arize AI, and Weights and Biases for LLM observability and analytics. General product analytics tools like Mixpanel or Amplitude can also be adapted, but lack AI-native features.
Is Voker safe to use?
Voker is designed for professional product teams and should follow standard data security practices. Teams handling sensitive user conversations should review Voker's privacy policy and data retention terms before integrating.
How much does Voker cost?
Voker likely offers a free starter plan with paid plans starting around $49 per month for growing teams. Enterprise pricing is available on request for larger organizations with custom needs.
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