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Integrations

Connect AI Detector API to 4 no-code and low-code platforms. Step-by-step guides for each. No Python or JavaScript required.

Why integrate at the platform layer

Most teams that buy an AI detection API never put a single detection call in their own code. They wire it into a no-code platform like Zapier or Make, branch on the score, and write the result back to whatever app the operations team already lives in (Airtable, Notion, HubSpot, Slack). The result is a detection pipeline operated by people who do not write code, supported by an engineering team who never has to touch the workflow once it ships.

Common architectures

The three patterns we see most are: inline (detect at submit time, block or label based on score), batch (queue submissions, score asynchronously, write back results), and audit (run a back catalog through the API once, surface anything above a threshold for editorial review). Each of the integrations below supports all three patterns.

Authentication

All integrations use the same auth: a single bearer token, sent in the Authorization header as Bearer YOUR_API_KEY. No OAuth dance, no per-user tokens, no key rotation ceremony for new teammates. You get a key when you sign up, and you can rotate it from the dashboard whenever you need to.

Webhook deliveries on the Pro plan and up are signed with a shared secret. Verify the signature on every incoming webhook before acting on it.

Platforms we cover

We document four platforms in depth below. Any platform with a generic HTTP node, REST connector, or webhook trigger will work too. If you are on a platform you do not see here, follow the platform's general HTTP recipe and point it at https://api.aidetectorapi.com/v1/detect/ with the auth header above.

Don't see your platform?

Any platform that can hit a REST endpoint can use AI Detector API. See the API reference for the raw request shape, or contact us to request a dedicated guide.

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Free 1,000 requests/month. No credit card. Works with every integration on this page.

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