Mapping guidance for Make.com (Integromat) scenario events. Covers execution metrics, scenario performance, operation counts, and module analytics.
Resources
1Install
npx skillscat add gracebotly/flowetic-app/make Install via the SkillsCat registry.
We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing language, no superlatives, no calls to action. Must be at most 60 words. No bullet points, no headings, no markdown. Just plain text. We need to explain what the skill does, what problem it solves, when an agent or developer should use it. From description: Mapping guidance for Make.com scenario events. Covers execution metrics, scenario performance, operation counts, module analytics. It maps execution data into standard event schema, providing fields for dashboards.
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