Voker
Agent analytics platform for monitoring and optimizing AI agents.
সংক্ষিপ্তসার
Voker কী?
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.
Voker কী কাজে ব্যবহৃত হয়?
ব্যবহারকারী গ্রুপ

শীর্ষ বৈশিষ্ট্য
- 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)
Voker কীভাবে ব্যবহার করবেন?
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.
বিকল্প টুল
সুবিধা & অসুবিধা
কোন ডেটা নেই
ব্যবহারের ক্ষেত্রে
- 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.
ব্যবহারকারীর পর্যালোচনা
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