
When this happens...
Live Stream Started
Live Stream Ended
New Live Stream Created
New Video Created

Automatically do this!
Create Training Project
List Training Projects
Create Secret
List all Secrets
When this happensTriggers
A trigger is an event that starts a workflow.
This Trigger will fire when a Live stream has Begun Broadcasting
Triggers whe a Live stream ended
Returns newly created live streams at scheduled time intervals.
Returns newly created videos based on the scheduled time interval.
Triggers when a new Secret is created in Baseten
Action is the task that follows automatically within your api.video integrations.
Create a new Baseten training project with a unique name.
Retrieve all Baseten training projects, returning each project's id, name, creation/update timestamps, and team.
Create a new secret with a name and value.
Retrieve all secrets stored in your Baseten account.

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To start, connect both your api.video and Baseten accounts to viaSocket. Once connected, you can set up a workflow where an event in api.video triggers actions in Baseten (or vice versa).
Absolutely. You can customize how api.video data is recorded in Baseten. This includes choosing which data fields go into which fields of Baseten, setting up custom formats, and filtering out unwanted information.
The data sync between api.video and Baseten 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 api.video and Baseten. 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.
api.video is a video hosting and streaming service that allows users to upload, manage, and deliver videos with ease. It provides APIs to integrate video functionalities into applications.
Learn MoreBaseten is a platform that empowers developers to build, deploy, and manage machine learning models with ease. It provides tools for integrating AI capabilities into applications, streamlining the process from model creation to deployment.
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