Connect Clockify and Birst to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Clockify
Choose an Action
Automatically do this!
- Request a new Action for Birst
Enable Integrations or automations with these events of Clockify and Birst
Enable Integrations or automations with these events of Clockify and Birst
Actions
Find Project
Find a Project in a workspace.
Update a Client
Update your Client here
Delete a Client
Delete a Client
Create Client
Create a new client
Find Client
Find a Client in Workspace.
Find Task
Find Task by Name on a specified project and workspace.
Know More About Clockify and Birst Integrations
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Frequently Asked Questions
To start, connect both your Clockify and Birst accounts to viaSocket. Once connected, you can set up a workflow where an event in Clockify triggers actions in Birst (or vice versa).
Absolutely. You can customize how Clockify data is recorded in Birst. This includes choosing which data fields go into which fields of Birst, setting up custom formats, and filtering out unwanted information.
The data sync between Clockify and Birst 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 Clockify and Birst. 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 Clockify
Clockify, a time tracking and timesheet application, enables project-based work hour tracking for unlimited users at no cost.
Learn MoreAbout Birst
Birst is a cloud-based business intelligence and analytics platform that helps organizations make data-driven decisions. It provides tools for data discovery, visualization, and reporting, enabling users to transform raw data into actionable insights. Birst's platform is designed to be user-friendly, allowing both technical and non-technical users to access and analyze data efficiently.
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