
When this happens...
Automatically do this!
Search Subscriber
Add Subscriber To Form
Add Subscriber to Sequence
Remove Tag From Subscriber
Create Purchase
Add Tag to Subscriber
Create or Update Subscriber
Update Subscriber
Unsubscribe Subscriber
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a subscription occurs to a specific form
Triggers when a new purchase is added to your account.
Triggers when a specific tag is added to a subscriber
Runs when subscriber unsubscribes
Triggers when a specific tag is removed from a subscriber
Action is the task that follows automatically within your AI/ML API integrations.
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
Find the details of a existing subscriber by its ID or Email
Subscribe someone to a specific form.
Add an email address to a specific email sequence.
Remove a specific tag from a subscriber.
Adds a purchase to a subscriber an existing purchase.
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To start, connect both your AI/ML API and Kit accounts to viaSocket. Once connected, you can set up a workflow where an event in AI/ML API triggers actions in Kit (or vice versa).
Absolutely. You can customize how AI/ML API data is recorded in Kit. This includes choosing which data fields go into which fields of Kit, setting up custom formats, and filtering out unwanted information.
The data sync between AI/ML API and Kit typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between AI/ML API and Kit. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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