Connect DeskTime and VectorShift to Build Intelligent Automations
Enable Integrations or automations with these events of DeskTime and VectorShift
Enable Integrations or automations with these events of DeskTime and VectorShift
Actions
Create Task
Create a new Task test
Create Pipeline
Creates a new VectorShift pipeline with the provided name and optional description.
List Pipelines
Retrieve the pipelines available to the current user. Optional parameters: include pipelines shared with you and return full pipeline objects instead of only IDs.
Run pipeline
Run a VectorShift pipeline with provided inputs and return the run results.
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Frequently Asked Questions
To start, connect both your DeskTime and VectorShift accounts to viaSocket. Once connected, you can set up a workflow where an event in DeskTime triggers actions in VectorShift (or vice versa).
Absolutely. You can customize how DeskTime data is recorded in VectorShift. This includes choosing which data fields go into which fields of VectorShift, setting up custom formats, and filtering out unwanted information.
The data sync between DeskTime and VectorShift 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 DeskTime and VectorShift. 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 DeskTime
DeskTime is a time tracking and productivity app designed for teams and freelancers to enhance efficiency by automatically tracking time spent on tasks, applications, and websites. It provides detailed productivity analysis by categorizing activities and tracking idle time.
Learn MoreAbout VectorShift
VectorShift is an advanced AI platform designed to enhance data analysis and visualization. It leverages cutting-edge machine learning algorithms to transform complex datasets into actionable insights, making it an essential tool for businesses looking to optimize their decision-making processes.
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