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    Showel
    Showel

    AI usage analytics for development teams. Track, analyze, and optimize your team's AI coding assistant usage.

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    Showel Logo
    Showel
    FeaturesHow It WorksUse CasesFAQBlogContact
    Documentation
    Documentation

    Getting Started

    • Installation
    • Quick Start

    User Guide

    • Overview
    • Tracking Usage
    1. Home
    2. Documentation
    3. User Guide
    4. Tracking Token Usage

    Learn how to monitor and analyze AI token consumption with Showel

    Tracking Token Usage

    Learn how to monitor Cursor AI token consumption with Showel's tracking features. This guide covers accessing reports, understanding metrics, and managing project access.

    Project Visibility and Access Control

    Before tracking usage, ensure your project has access to Showel reports.

    Checking Project Access

    If you see "Token usage reports are not available for this project" or "AI adoption metrics are currently hidden", your project is not allowed to view Showel data.

    To request access:

    1. Contact your Jira administrator
    2. Ask them to navigate to Settings > Apps > Showel > Project Visibility
    3. They can enable access for your project using the toggle or bulk actions

    Admin: Granting Project Access

    As a Jira administrator:

    1. Go to Settings (⚙️) > Apps > Showel
    2. Click Project Visibility in the sidebar
    3. Find the project in the table (use search if needed)
    4. Either:
      • Use the individual toggle to allow the project
      • Select multiple projects and click Allow Selected

    Project Visibility ManagementProject Visibility Management Granting project access to Showel reports

    Security Note: Projects are denied by default. Only explicitly allowed projects can view token usage and AI adoption data.

    Understanding Token Tracking

    What are Tokens?

    Tokens are the fundamental units of AI model usage:

    • Input tokens - Text sent to the AI model (code context)
    • Output tokens - Text generated by the AI (completions, suggestions)
    • Total tokens - Sum of input and output tokens

    Example: A typical code completion might use:

    • Input: 150 tokens (your code context)
    • Output: 50 tokens (generated code)
    • Total: 200 tokens

    How Showel Tracks Tokens

    Showel integrates with the Cursor Admin API to:

    1. Fetch usage data - Retrieves data from Cursor on-demand
    2. Aggregate by developer - Shows per-team-member consumption
    3. Access historical data - Up to 90 days (Cursor API limit)
    4. Display analytics - Charts, trends, and breakdowns

    Note: Showel does not store usage data. All data is fetched live from Cursor when you view reports.

    Viewing Token Usage Reports

    Token Usage Report Page

    Access detailed token consumption data:

    1. Navigate to any allowed project in Jira
    2. Click Token Usage Report in the project sidebar
    3. View team member breakdown and analytics

    What you'll see:

    • Team member table - Token usage per developer with role and email
    • Daily usage chart - Line chart showing consumption over time (7 or 30 days)
    • Language breakdown - Pie chart showing token usage by programming language
    • Model usage - Pie chart showing distribution across AI models

    Date range options:

    • Last 7 days
    • Last 30 days (default)

    Each chart has independent date range controls, so you can view different time periods for different metrics.

    Viewing AI Adoption Analytics

    AI Adoption Analytics Page

    Understand your team's AI adoption patterns:

    1. Navigate to any allowed project
    2. Click AI Adoption Analytics in the project settings
    3. Review adoption metrics and developer breakdown

    Key metrics:

    • Usage Percentage - % of team members actively using AI
    • Token Efficiency - Average tokens per active developer
    • Acceptance Rate - % of AI suggestions that are accepted

    Visualizations:

    • Active users over time - Adoption trend chart
    • Top programming languages - Most-used languages
    • AI models used - Distribution of model usage

    Developer Breakdown Table:

    Shows per-developer metrics including:

    • Total tokens used
    • Active days
    • Acceptance rate
    • Usage trends

    Configuration Tab

    The Configuration tab allows you to:

    • Toggle visibility - Show/hide AI adoption metrics for the project
    • Refresh cache - Force refresh of cached data from Cursor API

    Understanding the Data

    Data Source

    All data comes from the Cursor Admin API:

    • Team members - Synced from your Cursor account
    • Usage data - Daily usage statistics, filtered events, spending data
    • 90-day limit - Maximum historical range provided by Cursor API

    Data Freshness

    • Real-time fetching - Data is fetched when you load the page
    • No caching - Data is not stored in Jira (except temporary session cache)
    • Cursor sync - Reflects your current Cursor team and usage

    Metrics Explained

    Token consumption:

    • Includes all Cursor AI interactions (completions, chat, refactoring)
    • Measured in tokens (text chunks processed by the AI model)

    Active developers:

    • Team members who have used Cursor AI in the selected time period
    • Based on non-zero token consumption

    Acceptance rate:

    • Percentage of AI suggestions that were accepted/used
    • Higher rate indicates more useful suggestions

    Best Practices

    Regular Monitoring

    Establish a review routine:

    1. Weekly check - Review AI Adoption Analytics to track team adoption
    2. Monitor trends - Check daily usage charts for patterns
    3. Review language breakdown - Understand which codebases consume most tokens

    Managing Access

    Control who can view analytics:

    1. Start small - Allow access to a few key projects first
    2. Expand gradually - Add more projects as needed
    3. Use bulk actions - Efficiently manage multiple projects at once
    4. Regular audits - Review which projects have access periodically

    Understanding Patterns

    Look for:

    • Adoption trends - Is AI usage increasing or decreasing?
    • Language patterns - Which languages benefit most from AI assistance?
    • Team engagement - What percentage of developers actively use AI?

    Troubleshooting

    Missing Data

    If usage data isn't appearing:

    1. Check API configuration - Go to Settings > Apps > Showel > API Configuration
    2. Test connection - Click "Test Connection" to verify API access
    3. Verify API key - Ensure your Cursor Admin API key is valid
    4. Check project access - Confirm the project is allowed in Project Visibility

    "Reports Not Available" Message

    If you see this message:

    1. Contact admin - Ask your Jira admin to grant project access
    2. Check permissions - Verify you have access to the project itself
    3. Verify configuration - Ensure Showel is configured with valid API credentials

    Slow Loading

    If reports load slowly:

    1. Reduce date range - Try 7 days instead of 30 days
    2. Check Cursor API - Verify Cursor API is responding normally
    3. Browser refresh - Clear browser cache and reload

    Next Steps

    • Features Overview - Explore all Showel capabilities
    • Quick Start - Get started in 5 minutes
    • Installation - Setup instructions

    Need help? Contact support@showel.ai or visit the Atlassian Marketplace.

    Previous
    Overview

    Last updated: 1/20/2026

    On this page
    • Project Visibility and Access Control
    • Checking Project Access
    • Admin: Granting Project Access
    • Understanding Token Tracking
    • What are Tokens?
    • How Showel Tracks Tokens
    • Viewing Token Usage Reports
    • Token Usage Report Page
    • Viewing AI Adoption Analytics
    • AI Adoption Analytics Page
    • Configuration Tab
    • Understanding the Data
    • Data Source
    • Data Freshness
    • Metrics Explained
    • Best Practices
    • Regular Monitoring
    • Managing Access
    • Understanding Patterns
    • Troubleshooting
    • Missing Data
    • "Reports Not Available" Message
    • Slow Loading
    • Next Steps
    Showel
    Showel

    AI usage analytics for development teams. Track, analyze, and optimize your team's AI coding assistant usage.

    🔷Atlassian Marketplace

    Product

    • Features
    • Documentation
    • Blog
    • Changelog

    Company

    • About
    • Contact

    Legal

    • Privacy Policy
    • Terms of Service
    • Security
    • Cookie Policy

    © 2026 Showel. All rights reserved.