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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Job Created
Triggers when new job is created.
Job Updated
Triggers when an existing job is updated.
Job Deleted
Triggers when an existing job is deleted.
User Created
Triggers when an user is created.
User Updated
Triggers when an existing user is updated.
User Deleted
Triggers when an existing user is deleted.
Do thisActions
Action is the task that follows automatically within your Scale integrations.
Get Tasks
Retrieve all the tasks for given project.
Create Batch
Create a new batch in a project to group related tasks for processing.
Pause Batch
Pause processing of an in-progress Batch. Only unstarted tasks will be paused.
Resume Batch
Resume processing of a paused Batch. Previously paused tasks will be resumed.
Finalize a batch
Mark a Scale batch as complete so no new tasks can be added.
Cancel Batch
Cancel processing of a Batch. Unstarted tasks will be cancelled. Completed batches cannot be cancelled.
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Frequently Asked Questions
To start, connect both your Scale and Timeero accounts to viaSocket. Once connected, you can set up a workflow where an event in Scale triggers actions in Timeero (or vice versa).
Absolutely. You can customize how Scale data is recorded in Timeero. This includes choosing which data fields go into which fields of Timeero, setting up custom formats, and filtering out unwanted information.
The data sync between Scale and Timeero 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 Scale and Timeero. 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 Scale
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
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