Connect NativeBridge and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
New Upload Application
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of NativeBridge and kazm
Enable Integrations or automations with these events of NativeBridge and kazm
Triggers
New Upload Application
Trigger When new Application Upload
Actions
List all Devices
List all Devices
List User Uploaded Applications
List User Uploaded Applications
Get all Session Details by ID
Get all Session Details by ID
Delete a Session
Delete a Session
Create a Session
Create a Session in NativeBridge.
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Frequently Asked Questions
To start, connect both your NativeBridge and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in NativeBridge triggers actions in kazm (or vice versa).
Absolutely. You can customize how NativeBridge 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 NativeBridge 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 NativeBridge 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 NativeBridge
NativeBridge is a platform designed to facilitate seamless integration and communication between various software applications and services. It provides tools and solutions to connect different systems, enabling efficient data exchange and workflow automation.
Learn MoreAbout 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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