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Make (formerly Integromat) integration

Build visual scenarios that branch on AI-detection scores from any app.

~10 minute setup · 6 steps · Webhooks supported

Make is a more powerful, more visual automation platform than Zapier. Better suited to branched workflows with conditional logic. It connects to AI Detector API via the built-in HTTP module.

Make scenarios are especially useful for batch processing: ingest a list of documents from Google Sheets, score them in a loop, write results to a different sheet, send a digest email. All without code.

When to use this

Use Make when you want more control than Zapier offers. Branching logic, iteration, error handlers, scheduled batch runs. Without writing code.

Steps

  1. 1

    Create a new scenario

    Add a trigger module. Could be a webhook, schedule, or app-specific event.

  2. 2

    Add an HTTP > Make a request module

    URL: https://api.aidetectorapi.com/v1/detect/. Method: POST. Body type: Raw. Content type: application/json.

  3. 3

    Configure auth + body

    Headers: Authorization: Bearer YOUR_API_KEY and Content-Type: application/json. Body: {"text": "{{1.text}}"} referencing the upstream module's text field.

  4. 4

    Parse the response

    Check Parse response in the HTTP module so Make exposes score, confidence, and sentences[] as typed fields for downstream modules.

  5. 5

    Add a router for branching

    Make's Router module fans out flows by condition. Branch on score > 0.85 for high-confidence AI, 0.5 < score <= 0.85 for review, otherwise pass through.

  6. 6

    Schedule or trigger

    Run the scenario on demand for testing, then set a schedule (every 15 min, hourly, daily) or wire a webhook trigger for real-time flows.

Example use case

Hourly Make scenario: read new rows from Google Sheets, score with AI Detector API, write results back with a status flag.

Rate-limit tip

Use Make's built-in Sleep module between calls if you're processing more than ~50 documents in a single scenario run.

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