Connect Upwave and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Upwave
Choose an Action
Automatically do this!
Create Chat Completion
Enable Integrations or automations with these events of Upwave and AI/ML API
Enable Integrations or automations with these events of Upwave and AI/ML API
Actions
Create Card
Creating a new Card in Upwave .
List Workspaces
get all Workspaces.
List Members
get all Members.
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 Upwave and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Upwave triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Upwave 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 Upwave 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 Upwave 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 Upwave
Upwave is a versatile project management and collaboration tool designed to help teams streamline their workflows, track progress, and achieve their goals efficiently. With features like task management, visual boards, and real-time collaboration, Upwave empowers teams to stay organized and productive.
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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