Antbase/Documentation

Make (Integromat) Integration

Add AI capabilities to Make scenarios using the HTTP module. Build visual automation workflows with intelligent model routing, failover, and cost optimization.

What this enables

  • AI-powered steps in any Make scenario via the HTTP module
  • Visual workflow builder with drag-and-drop AI processing
  • Connect to hundreds of apps and services with AI enrichment
  • JSON parsing module handles Antbase responses natively

Quick Start

1. Add an HTTP module

In your Make scenario, add the HTTP > Make a request module.

2. Configure the request

FieldValue
URLhttps://antbase.ai/v1/chat/completions
MethodPOST
Body typeRaw > JSON (application/json)

3. Set headers

Authorization: Bearer your-ant-api-key
Content-Type: application/json

4. Set the request body

{
  "model": "ant:auto",
  "messages": [
    {
      "role": "user",
      "content": "Summarize: {{1.text}}"
    }
  ],
  "max_tokens": 1024
}

Use Make's variable syntax {{module.field}} to reference data from previous modules.

5. Parse the response

Check Parse response in the HTTP module settings. The AI response text is at choices[1].message.content (Make uses 1-based indexing).

Usage Examples

Lead scoring

{
  "model": "ant:fast",
  "messages": [
    {
      "role": "system",
      "content": "Score this lead 1-100 based on the data. Return JSON: {"score": N, "reason": "..."}"
    },
    {
      "role": "user",
      "content": "Company: {{1.company}}, Title: {{1.title}}, Website: {{1.website}}"
    }
  ],
  "temperature": 0,
  "response_format": { "type": "json_object" }
}

Content generation pipeline

Chain multiple HTTP modules: use ant:fast to generate an outline, then ant:best to write the full article from the outline.

Virtual Models

ModelBest forNotes
ant:autoGeneral usePicks optimal model per request
ant:fastClassification, scoringLow latency for high-volume scenarios
ant:bestComplex generationFrontier models for quality output
ant:freeTestingZero cost during development
ant:reasoningAnalysisChain-of-thought reasoning
ant:coderCode tasksCode-optimized models

See Virtual Models for the full list.

Troubleshooting

Parse response shows empty

Make sure Parse response is enabled in the HTTP module. The response body is JSON -- set the body type to "Raw" and "JSON" in the module settings.

Timeout on long requests

Make has a default 40-second timeout. For complex prompts, use ant:fast or increase the timeout in the HTTP module's advanced settings.