Connect Agora and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Agora
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Enable Integrations or automations with these events of Agora and V7 Go
Enable Integrations or automations with these events of Agora and V7 Go
Actions
Get project usage
Gets the usage data of a specified project.
Enable or Disable Primary app
Enables or disables the primary app certificate for a project by ID.
Set IP Address
Sets the IP of the recording server for a project by ID.
Enable or Disable a Project
Enables or Disables a project by ID.
Get a Project by ID
Gets the info on a project by ID.
Create a project
Creates a new project.
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Frequently Asked Questions
To start, connect both your Agora and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Agora triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Agora data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Agora and V7 Go 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 Agora and V7 Go. 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 Agora
Agora offers real-time voice, video, and live interactive streaming platforms, enabling developers to embed real-time video and voice functionalities into their applications.
Learn MoreAbout V7 Go
V7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
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