Zapier & Make.com AI Automations Without USD Billing

The no-code AI step still needs a paid API key

Zapier's OpenAI integration and Make.com's OpenAI/Anthropic modules both work by asking you to connect your own API key — the automation platform itself doesn't absorb the LLM cost. That means the USD billing and international-card requirement from the underlying provider follows you into your no-code workflow, even though the rest of the automation might cost nothing extra.

Both platforms support a generic HTTP request step, which is all you need to route the AI portion through AICredits instead.

Zapier: using the Webhooks step

Zapier's native OpenAI action is locked to OpenAI's endpoint, but the Webhooks by Zapier → POST action works with any HTTP API:

1. Add a Webhooks by Zapier step, action type POST.
2. URL: https://api.aicredits.in/v1/chat/completions
3. Headers: Authorization: Bearer sk-your-aicredits-key, Content-Type: application/json
4. Data (raw JSON body):

{
  "model": "openai/gpt-4o-mini",
  "messages": [
    {"role": "user", "content": "{{trigger_field}}"}
  ]
}

5. Parse the response with a Formatter step, extracting choices[0].message.content for use in later steps.

Make.com: using the HTTP module

Make.com's flow is similar — add an HTTP → Make a request module:

• URL: https://api.aicredits.in/v1/chat/completions
• Method: POST
• Headers: Authorization: Bearer sk-your-aicredits-key
• Body type: Raw (JSON)
• Body:

{
  "model": "google/gemini-2.0-flash",
  "messages": [
    {"role": "user", "content": "{{1.email_body}}"}
  ]
}

Map {{1.data.choices[].message.content}} in the next module to use the generated text downstream — in a Slack message, a Google Sheets row, or a follow-up email.

A common pattern: lead-qualification automation

A typical no-code AI flow: a form submission triggers the automation, an LLM call classifies the lead's intent from the free-text field, and the result routes the lead to a different pipeline stage or Slack channel based on the classification.

{
  "model": "openai/gpt-4o-mini",
  "messages": [
    {"role": "system", "content": "Classify this lead as 'hot', 'warm', or 'cold' based on urgency and budget signals. Respond with one word only."},
    {"role": "user", "content": "{{form_submission_text}}"}
  ]
}

At GPT-4o-mini pricing, a single classification call like this costs a small fraction of a rupee — thousands of leads a month stay well under ₹50 in AI cost.

Frequently Asked Questions

Do I need to write any code to use AICredits with Zapier or Make?

No — both platforms' generic HTTP/webhook modules handle the request without custom code. You're filling in a URL, headers, and a JSON body through the platform's UI.

Can I use this pattern for image generation too?

Yes — point the HTTP step at https://api.aicredits.in/v1/images/generations with the DALL-E request format instead of chat completions.

Will my automation break if I switch models later?

No — only the model field in the JSON body changes. The rest of the request structure, headers, and response parsing stay the same across every supported model.

Is this slower than the native OpenAI integration in Zapier?

No meaningful difference — you're calling the same underlying provider infrastructure through AICredits' routing layer, just with a different billing relationship behind it.

Get started

• Create a free account and generate an API key for your automation.
• Read the API reference for the full request/response format.
• Related: Using AI Models in n8n Workflows Without an International Card.