Use Autark in Zapier.
Add a step to any Zap that asks Autark a question and uses the answer in the steps that follow. Summarize an email, classify a lead, draft a reply, extract fields from a form: the Zap you already have gains a step that thinks.
How this works, and what it is not
Zapier's built-in AI steps let you bring your own key, but only from a fixed list of providers: OpenAI, Anthropic, Google Gemini, Azure OpenAI, and Amazon Bedrock. There is no field for a custom address, so Autark cannot be selected as the AI provider inside those steps.
What works instead is putting Autark in the middle of the Zap as a webhook step. You get the same result, and it works in every Zapier plan that includes Webhooks by Zapier. It is a few more clicks than picking a provider from a dropdown, and it is the only way to run Autark inside a Zap today.
Add the step
Place this step wherever you want the AI work to happen. Everything before it can feed it information; everything after it can use the answer.
1. Add a step after your trigger
2. App: Webhooks by Zapier
3. Event: Custom Request
4. Method: POST
5. URL: https://api.autark.ai/v1/chat/completions
6. Payload Type: json
7. Data: paste the body below (see the next block)
8. Headers: Authorization -> Bearer autark_sk_YOUR_KEY
Content-Type -> application/json
9. Test the stepThe request body
This is the part that looks technical. You only need to change two things: the sentence you want answered, and which Autark model answers it. Pull in data from earlier steps with Zapier's field picker where you see {{message_text}}.
{
"model": "autark-agent",
"messages": [
{
"role": "user",
"content": "Write a one-line summary of this message: {{message_text}}"
}
]
}Using the answer in later steps
Zapier parses the response automatically. The text Autark wrote appears as a field you can map into any following step.
{
"choices": [
{
"message": {
"role": "assistant",
"content": "The summary Autark wrote."
}
}
]
}
// In later Zap steps, map the answer with:
// Choices Message ContentWhich model to use
Start with autark-agent. It handles classification, summarization, extraction and drafting, which is what most Zaps need, at the lowest cost. Move to autark-pro when the answers feel shallow, and autark-deep only for genuinely hard reasoning. Add -private when the content is sensitive: same quality, restricted to providers that never retain or train on your prompts.
Zaps run on a schedule, so a step that fires often adds up. Autark picks the model per request, which is what keeps a high-volume Zap affordable.
Troubleshooting
The step fails with 401 or 403
The Authorization header is missing or malformed. It must read Bearer autark_sk_YOUR_KEY, including the word Bearer and the space after it.
The step fails with 404
The URL is missing /v1 or the path after it. It should be https://api.autark.ai/v1/chat/completions.
The step succeeds but the answer is empty
Check the model name is spelled exactly as listed, including any -private suffix. A wrong model name returns an error rather than an empty answer, so an empty answer usually means the field mapping in a later step is pointing at the wrong output.
Can I use this in a Zapier Chatbot or Agent?
Not as the model behind it. Those products select their own models and do not accept a custom endpoint. The webhook step above works in a Zap, and a Zap can be triggered by a chatbot conversation.