# Find out what a Make.com scenario costs in operations

**Use case:** 

Price a Make.com scenario's schedule before it bills you. Paste a blueprint that carries its schedule (a template export or the API's blueprint response) and get the operations its polling trigger burns each month, in operations and in dollars at your plan's rate - whether or not it ever finds new data.

## Input

```json
{
  "blueprintJson": {
    "blueprint": {
      "name": "New spreadsheet rows to Slack",
      "flow": [
        {
          "id": 1,
          "module": "google-sheets:watchRows",
          "version": 2,
          "parameters": {
            "__IMTCONN__": 1001,
            "mode": "select",
            "spreadsheetId": "",
            "sheetId": "Orders",
            "includesHeaders": true,
            "tableFirstRow": "A1:Z1",
            "limit": 10
          },
          "mapper": {},
          "metadata": {
            "designer": {
              "x": 0,
              "y": 0
            }
          }
        },
        {
          "id": 2,
          "module": "slack:CreateMessage",
          "version": 4,
          "parameters": {
            "__IMTCONN__": 1002
          },
          "mapper": {
            "channel": "orders",
            "text": "New order: {{1.`0`}} ({{1.`1`}} units)",
            "parse": false
          },
          "metadata": {
            "designer": {
              "x": 300,
              "y": 0
            }
          }
        }
      ],
      "metadata": {
        "instant": false,
        "version": 1,
        "scenario": {
          "roundtrips": 1,
          "maxErrors": 3,
          "autoCommit": true,
          "autoCommitTriggerLast": true,
          "sequential": false,
          "confidential": false,
          "dataloss": false,
          "dlq": false,
          "freshVariables": false
        },
        "designer": {
          "orphans": []
        },
        "zone": "eu1.make.com"
      }
    },
    "scheduling": {
      "type": "indefinitely",
      "interval": 900
    }
  },
  "blueprintUrls": [],
  "makeZone": "eu1",
  "teamIds": [],
  "scenarioIds": [],
  "activeOnly": false,
  "ruleSet": "cost",
  "minSeverity": "info",
  "ignoreRules": [],
  "costPer1kOperations": 1.8,
  "includeReport": false
}
```

## Output

```json
{
  "severity": {
    "label": "Severity",
    "format": "string"
  },
  "estimatedMonthlyOpsWasted": {
    "label": "Ops wasted / month",
    "format": "number"
  },
  "estimatedMonthlySavingsUsd": {
    "label": "Savings / month (USD)",
    "format": "number"
  },
  "costConfidence": {
    "label": "Cost confidence",
    "format": "string"
  },
  "rule": {
    "label": "Rule",
    "format": "string"
  },
  "ruleTitle": {
    "label": "Finding",
    "format": "string"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "scenarioName": {
    "label": "Scenario",
    "format": "string"
  },
  "moduleType": {
    "label": "Module",
    "format": "string"
  },
  "moduleId": {
    "label": "Module id",
    "format": "integer"
  },
  "message": {
    "label": "Message",
    "format": "string"
  },
  "remediation": {
    "label": "Remediation",
    "format": "string"
  },
  "evidence": {
    "label": "Evidence",
    "format": "string"
  },
  "parameterPath": {
    "label": "Field",
    "format": "string"
  },
  "opsMultiplier": {
    "label": "Runs per bundle",
    "format": "integer"
  },
  "costMethod": {
    "label": "How it was priced",
    "format": "string"
  },
  "docsUrl": {
    "label": "Docs",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Make.com Scenario Auditor - Linter & Cost Review](https://apify.com/mediocre_interest/make-scenario-auditor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mediocre_interest/make-scenario-auditor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/mediocre_interest/make-scenario-auditor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).