make

Make.com (formerly Integromat) is a visual automation platform for connecting apps and automating workflows via scenarios. Users connect Make scenarios to Getflowetic to monitor execution performance, track operation usage, and analyze error patterns.

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Install skill "make" with this command: npx skills add gracebotly/flowetic-app/gracebotly-flowetic-app-make

Make Platform Skill

Overview

Make.com (formerly Integromat) is a visual automation platform for connecting apps and automating workflows via scenarios. Users connect Make scenarios to Getflowetic to monitor execution performance, track operation usage, and analyze error patterns.

Vocabulary

  • scenario: A Make automation workflow composed of modules connected in a flow

  • execution: A single run of a scenario, triggered by schedule, webhook, or manual

  • module: A single step/action within a scenario (e.g., HTTP request, Google Sheets row)

  • operation: A billable action counted by Make — modules consume operations per execution

  • blueprint: The JSON definition of a scenario's structure (modules + connections)

  • team: Make organizational unit that owns scenarios and connections

Key Metrics for Dashboards

  • Execution Volume: Total runs over time — trend chart on started_at

  • Success Rate: Percentage of executions with status=success — hero stat

  • Avg Duration: Average execution time in ms — supporting metric card

  • Scenario Breakdown: Runs per scenario — pie chart on scenario_name/workflow_name

  • Error Rate: Failed executions as percentage — hero stat (inverted success)

Event Field Mapping

The Make import route normalizes execution data into the standard event schema. These are the fields that appear in event.state :

Event Field Semantic Type Dashboard Use

workflow_id identifier Maps to scenario_id — count only

workflow_name dimension Maps to scenario name — breakdown charts

execution_id surrogate_key Maps to execution ID — "Total Runs" KPI

status dimension Success rate percentage — hero stat

duration_ms measure (avg) "Avg Duration" metric card

started_at time_dimension Timeseries trend axis

ended_at time_dimension Detail only

platform constant Always "make" — skip

These fields also appear in event.labels :

  • scenario_id, scenario_name, execution_id, status, platformType

Dashboard Templates

  • ops-monitoring: Execution volume trend, success rate, avg duration, scenario breakdown

  • scenario-performance: Per-scenario comparison with execution counts and durations

  • error-tracker: Error trends, failure reasons, scenario-level error rates

Mapping Heuristics (Legacy Aliases)

  • scenario_id → workflow_id

  • scenario_name → workflow_name

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