Connect AI/ML API and Eventix to Build Intelligent Automations
Ready to use AI/ML API and Eventix automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Location
Triggers When new Location is Created.
New Event
Triggers when new Event is Created.
New Shop
Triggers when new Shop is Created.
Update Event
Triggers when an Existing Event is Updated.
Update Shop
Triggers when an Exisitng Shop is Updated.
Update Location
Triggers When an Existing Location is Updated.
Do thisActions
Action is the task that follows automatically within your AI/ML API integrations.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
Create Location
Creates a Location.
Create Shop
Creates a Shop.
Update Shop
Updates an Existing Shop.
Delete Shop
Delete an Existing Shop.
Create ShopTracker
Creates a Shop Tracker.
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Frequently Asked Questions
To start, connect both your AI/ML API and Eventix accounts to viaSocket. Once connected, you can set up a workflow where an event in AI/ML API triggers actions in Eventix (or vice versa).
Absolutely. You can customize how AI/ML API data is recorded in Eventix. This includes choosing which data fields go into which fields of Eventix, setting up custom formats, and filtering out unwanted information.
The data sync between AI/ML API and Eventix 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 Eventix. 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.
About AI/ML API
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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