Connect Feathery and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
Data Received
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Ready to use Feathery and V7 Go automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Data Received
Triggers when the end user submits any data through your form.
Do thisActions
Action is the task that follows automatically within your Feathery integrations.
Retrieve Account Information
Retrieve your Account Information
Create Project
Creates a new project.
Create a New Session
Create a new session
Delete Project
Delete a project.
Update Project
Update a project .
Create an export
Creates a new export
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Frequently Asked Questions
To start, connect both your Feathery and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Feathery triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Feathery 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 Feathery 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 Feathery 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 Feathery
Feathery is your go-to platform for lightweight, efficient web solutions. Specializing in seamless, user-friendly interfaces and high-performance applications, Feathery ensures your digital presence is both elegant and powerful.
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.
Learn More
