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

Automatically do this!
Create App
List All Spaces
Create Space
Copy App
List Items
Invite User
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.
Action is the task that follows automatically within your api.video integrations.
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Create a new space in Qlik.
Duplicate an existing Qlik app
Get apps, dashboards, datasets
Invite user and assign roles
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To start, connect both your api.video and Qlik accounts to viaSocket. Once connected, you can set up a workflow where an event in api.video triggers actions in Qlik (or vice versa).
Absolutely. You can customize how api.video data is recorded in Qlik. This includes choosing which data fields go into which fields of Qlik, setting up custom formats, and filtering out unwanted information.
The data sync between api.video and Qlik 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 Qlik. 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 MoreQlik is a powerful data analytics and business intelligence platform that helps organizations make data-driven decisions. It offers a range of tools for data visualization, reporting, and dashboard creation, enabling users to gain insights from their data quickly and efficiently.
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