Connect NeetoCal and Scale to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Booking
Triggers when a new booking is created.
Do thisActions
Action is the task that follows automatically within your NeetoCal integrations.
List all availabilities
List all the availabilities of a team member.
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.
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Frequently Asked Questions
To start, connect both your NeetoCal and Scale accounts to viaSocket. Once connected, you can set up a workflow where an event in NeetoCal triggers actions in Scale (or vice versa).
Absolutely. You can customize how NeetoCal data is recorded in Scale. This includes choosing which data fields go into which fields of Scale, setting up custom formats, and filtering out unwanted information.
The data sync between NeetoCal and Scale 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 NeetoCal and Scale. 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 NeetoCal
NeetoCal is a powerful scheduling and booking tool designed to streamline your appointment management. Perfect for businesses and individuals looking to optimize their time and enhance productivity.
Learn MoreAbout Scale
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
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