Connect Jibble and kazm to Build Intelligent Automations
Enable Integrations or automations with these events of Jibble and kazm
Enable Integrations or automations with these events of Jibble and kazm
Triggers
New Person
Triggers when new member is added.
New Clock-Out
Triggers when someone clocks-out.
Go on Break
Triggers when someone is on break.
Fetch Recent Clock-out
Triggers when someone clock out or go for break.
New Clock In
Triggers when someone clocks-in.
New Activity
Triggers When new activity is Created.
Actions
Clock In
Clock the Person In.
Clock Out
Clock the Person Out.
Create Activities
Create a new Activities.
Create People
Creates a new People.
Find or Create Activity
Find activity or create it.
Create Client
Creates a Client.
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- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
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- has responseSendDMMessageAdd Step
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- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
To start, connect both your Jibble and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Jibble triggers actions in kazm (or vice versa).
Absolutely. You can customize how Jibble data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between Jibble and kazm 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 Jibble and kazm. 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 Jibble
Jibble is a time tracking and attendance management software designed to help businesses monitor employee hours, manage timesheets, and streamline payroll processes.
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About kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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