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Overview

Workflow Analytics drills into the performance of individual automations across your n8n and Make.com connections. Where the Analytics overview shows the big picture, this view answers “which workflow is failing, how often, and why?”

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Execution Metrics

Every workflow run Opsmatic sees is recorded as an execution with one of five statuses: From these, Opsmatic derives the core per-workflow metrics:

Success Rate

Share of executions that completed successfully over the selected period.

Average Duration

Mean execution time — the first place to look for slowdowns.

Execution Volume

How many times a workflow ran, and when its peaks are.

Failure Reasons

Captured error details grouped so you can see the dominant failure mode.

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Grouping by Workflow

The dashboard and the API can roll executions up per workflow so you can rank your automations by volume, failure rate or duration. Via the API:
To pull the raw failing runs for one workflow, with error details:
See the Analytics API for all filters. For historical charts, Opsmatic maintains rolled-up aggregations so long-range views stay fast even after raw executions are purged. The relevant metric_type values are:
  • daily_executions, weekly_executions, monthly_executions
  • daily_success_rate, weekly_success_rate, monthly_success_rate
  • daily_avg_duration, weekly_avg_duration, monthly_avg_duration

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Using the Data

Group by workflow, sort by failure rate, then open the failing executions with include_error_details=true to read the actual errors.
Watch avg_duration trends — a steady climb usually points at a growing dataset, a slow upstream API, or an added node.
Use execution volume peaks to schedule heavy workflows off your busiest windows.

Performance Metrics

How to read and interpret the KPIs

Availability Monitoring

Platform uptime and response time