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Caylex provides real-time analytics and detailed session logs for every interaction that passes through the Navigator. Use these to monitor performance, debug issues, and understand how your tools are being used.

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Dashboard overview

The analytics dashboard is accessible from the main navigation in the Caylex platform. It provides a high-level view of your platform’s activity with the following metrics:

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Key metrics

All metrics include period-over-period comparisons — you can see how the current period compares to the previous one (e.g., this week vs last week) to identify trends.

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Time-series graphs

The dashboard includes interactive graphs for:
  • Sessions over time — visualize session volume trends
  • Tool calls over time — track tool execution volume
  • Error rate over time — monitor error trends and spikes
  • Error types over time — see the breakdown of error categories (authentication, rate limit, timeout, execution errors)
  • Latency over time — track Navigator processing time trends
  • Runtime over time — monitor external server response times
  • Tool calls per session over time — observe session complexity trends
Use the time window selector to view data over different periods: last hour, last day, last week, or last month. You can also adjust the aggregation frequency (per minute, hour, day, week, or month) for more or less granularity.

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Top tools and servers

The dashboard also shows:
  • Top tools — the most frequently used tools, ranked by call count
  • Servers — which servers are being accessed and how often
  • Navigator-tool connections — which navigators are using which tools, visualized as a relationship map

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Filtering

All analytics can be filtered by: Combine filters to drill down into specific areas. For example, filter by a specific navigator and server to see how that navigator uses a particular integration.

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Session logs

Session logs provide a detailed view of every session processed by the Navigator. Navigate to a project and open the Session Logs tab to see all sessions. Each session log entry shows: You can filter sessions by navigator, server, and date range. Sort by newest or oldest first.

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Session details

Click on any session to open the Session Details drawer with three sections:

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Session summary

The full text of the original query or intent.

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Statistics

An overview of the session including the user, total tool calls, error count, timestamp, and which servers were invoked.

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Tool trace

A visual timeline showing every tool call executed in the session, displayed as a vertical step-by-step trace. The trace shows:
  • Individual tool calls — each displayed with the tool name, timestamp, and server icon
  • Parallel tool calls — grouped together and labeled as “Parallel” with the number of tools executed simultaneously
  • Error indicators — failed tool calls are highlighted with a red icon
For each tool call in the trace, you can see: If a tool call failed, you can click View Error Message to see the full error details, including any contextual error recovery information with examples of previous successful calls to the same tool.
Session traces are invaluable for debugging. If an agent is not behaving as expected, the trace shows exactly which tools were called, on which servers, and in what order — making it easy to pinpoint where things went wrong.

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User analytics

Per-user analytics are available in the project’s Users tab. For each user, you can see:
  • Activity timeline — sessions and tool calls over time
  • Top tools — the tools used most by this user’s interactions
  • Top servers — the servers accessed most on behalf of this user
  • Error rate — the percentage of tool calls that failed for this user
See Managing Users for more on the user view.

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Efficiency analytics

The navigator instance analytics drawer includes two metrics that measure how effectively your agent uses the Navigator’s tool suggestion system. These appear under Efficiency Analytics on the navigator instance’s Analytics tab. These metrics are scoped to the selected time window (hour, day, week, or month) and are filtered by project and navigator instance.

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Error monitoring

The error analytics section categorizes errors by type: Use error type trends to identify systemic issues. For example, a spike in authentication errors might indicate expired OAuth tokens that need renewal, while timeout errors might suggest a server performance problem.