When this happens...
New or Updated Event
New Event

Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when an event is created or updated.
Trigger when an event is created.
Action is the task that follows automatically within your Google Calendar integrations.
creates a new calendar
Updates an existing event in the specified calendar.
lists all the calendars.
Retrieves all events of a calendar.
Retrieves an existing events by Id.
Deletes an Event.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Google Calendar and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Calendar triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Google Calendar data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Google Calendar and Nyckel 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 Google Calendar and Nyckel. 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.
Google Calendar is a time-management and scheduling calendar service developed by Google. It allows users to create and edit events, set reminders, and share calendars with others. The service is designed to help individuals and teams stay organized and manage their time effectively.
Learn MoreNyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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