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Overview

The Analytics dashboard shows you how your toolsets are being used, helping you understand usage patterns and identify issues.

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What You Can See

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Usage Metrics

  • Total tool calls - How many times tools have been executed
  • Calls per tool - Which tools are used most frequently
  • Client breakdown - Which AI agents are using your toolsets (Claude Desktop, Cursor, custom clients)
  • Usage over time - Trends and patterns in tool execution

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Performance

  • Response times - How long tools take to execute
  • Error rates - Which tools are failing and why
  • Success rates - Percentage of successful executions per tool

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Execution Traces

Detailed logs of every tool call including:
  • Input parameters sent by the agent
  • Output returned by the tool
  • Error messages if the call failed
  • Timestamp and duration
  • Which client made the request

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Use Cases

When tools are failing, review error traces to see:
  • What error messages are returned
  • Which parameters caused failures
  • Authentication issues
Fix the root cause and verify error rates decrease.
Find tools with high response times and optimize them:
  • Enable response filtering
  • Configure pagination
  • Contact support for optimization help
See which tools are most valuable:
  • High usage indicates important workflows
  • Client distribution shows adoption
  • Usage trends correlate with business events
Use this data to prioritize which connectors to add or improve.

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Export Data

Export analytics data as CSV or JSON for:
  • External analysis in Excel, Google Sheets, or BI tools
  • Sharing with stakeholders
  • Custom reporting

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Next Steps

Test in Playground

Generate test data to see in analytics

Optimization Overview

Learn about built-in optimizations

Using Connectors

Connect more services to track

View Recipes

Pre-configured toolset examples