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The Usage Analytics page offers a centralized dashboard to monitor how AI agents are being used across the organization. It provides granular visibility into conversations, agent activity, and channel distribution — all of which help drive smarter decisions and operational insights.
Organization Usage Analytics view

Organization: Usage Analytics

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What You Can Track

This view gives you channel-wise and agent-wise breakdowns of:
  • Total number of questions and answers (Q&A) exchanged
  • Channel-specific traffic (e.g., Playground, Web, WhatsApp, Discord, API)
  • Which agents were most active
  • How usage has trended over time
📈 This data helps identify engagement hotspots, uncover underused channels, and optimize where your AI is delivering the most value.

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Filter Options

The left panel includes interactive filters to customize your analytics view.

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🗓️ Date Range

Select the timeframe you want to analyze:
  • All Time
  • Yesterday
  • Last 7 Days
  • Last 30 Days
  • Custom Range (using start and end dates)
Useful for comparing usage trends across months or analyzing spikes post-feature launches.

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AI Agents

Toggle visibility for each AI agent in your org:
  • Check or uncheck individual agents
  • Filter for active or offline agents
  • Use “Select All” or “Clear All” for convenience
Great for seeing which agents are driving the most engagement or are currently inactive.

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Channels

Analyze performance across different communication channels:
  • Website
  • Telegram
  • Discord
  • WhatsApp
  • API
  • Playground
You can include or exclude channels depending on your use case — for example, isolating API usage or comparing live chat vs web widget behavior.

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Visual Insights

In addition to summary cards, the dashboard now includes graphical breakdowns to make insights more intuitive:
  • Bar graphs to compare agent activity and channel performance
  • Pie charts to visualize distribution of queries across LLM models
  • Trend visualizations to quickly spot spikes or drops
Usage Analytics with graphical breakdowns

Usage Analytics with Graphs

These charts make it easier to not only track numbers but also see patterns at a glance — helping teams interpret data faster and make informed decisions.

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Interpreting the Results

Once filters are applied, the right panel will display visual summary cards for each channel. Each card shows:
  • Total Q&A count for that channel
  • A unified metric across all selected agents and date range

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Why It Matters

This page helps your organization:
  • Monitor real-time usage across all AI integrations
  • Diagnose drops or spikes in channel traffic
  • Audit agent activity across internal and public touchpoints
  • Allocate resources to channels with highest user interaction
  • Optimize content or responses where engagement is low
Whether you’re scaling support agents, tracking usage by department, or reporting engagement to stakeholders — this dashboard is essential for AI ops, QA teams, and product managers alike.