Connect Calamari and Scale to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Calamari
Choose an Action
Automatically do this!
Get Tasks
Create Batch
Pause Batch
Resume Batch
Finalize a batch
Cancel Batch
Enable Integrations or automations with these events of Calamari and Scale
Enable Integrations or automations with these events of Calamari and Scale
Actions
Create People
Creates a new People
Create Project Type
Crerate a New Project type
Public Holiday For Employee
Find public holidays for employee in dates range.
Search People
Search People by Email
Create Team
Creates a new Team
Delete Team
Delete team
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Frequently Asked Questions
To start, connect both your Calamari and Scale accounts to viaSocket. Once connected, you can set up a workflow where an event in Calamari triggers actions in Scale (or vice versa).
Absolutely. You can customize how Calamari 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 Calamari 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 Calamari 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 Calamari
Calamari is a comprehensive HR management tool designed to streamline attendance tracking, leave management, and employee scheduling. It offers features such as clock-in/out, leave requests, and team calendar integration, making it ideal for businesses looking to enhance their human resources operations.
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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