Connect Zoho Backstage and AI/ML API to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Event
Trigger when new event created.
New Attendee
Triggers when a new attendee is added.
New Checkin
Triggers when an attendee is checked in.
New Order
Trigger when new order is created
Do thisActions
Action is the task that follows automatically within your Zoho Backstage integrations.
Get Attendee Details
Get attendee details by unique id.
Create Offline Order
Creates an order in offline mode
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your Zoho Backstage and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho Backstage triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Zoho Backstage data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Zoho Backstage and AI/ML API 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 Zoho Backstage and AI/ML API. 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 Zoho Backstage
Zoho Backstage is an enterprise event management tool to help you create memorable event experiences.
Learn MoreAbout 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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