Connect api.video and Cast AI to Build Intelligent Automations
Ready to use api.video and Cast AI automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Live Stream Started
This Trigger will fire when a Live stream has Begun Broadcasting
Live Stream Ended
Triggers whe a Live stream ended
New Live Stream Created
Returns newly created live streams at scheduled time intervals.
New Video Created
Returns newly created videos based on the scheduled time interval.
Do thisActions
Action is the task that follows automatically within your api.video integrations.
Predict Model
Predict the best model based on the prompt.
Mark Organization
Mark the organization eligible for tial period.
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Frequently Asked Questions
To start, connect both your api.video and Cast AI accounts to viaSocket. Once connected, you can set up a workflow where an event in api.video triggers actions in Cast AI (or vice versa).
Absolutely. You can customize how api.video data is recorded in Cast AI. This includes choosing which data fields go into which fields of Cast AI, setting up custom formats, and filtering out unwanted information.
The data sync between api.video and Cast AI 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 Cast AI. 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 api.video
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 MoreAbout Cast AI
Cast AI is a platform that provides automated cloud optimization solutions, helping businesses manage and optimize their cloud resources efficiently. It leverages AI to reduce cloud costs, enhance performance, and ensure high availability of applications.
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