Connect BHuman and kazm to Build Intelligent Automations

Choose a Trigger

BHuman

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of BHuman and kazm

Enable Integrations or automations with these events of BHuman and kazm

Actions

Get Video

Get Video

Get generated videos by instance ID

Request a new Action for BHuman

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Frequently Asked Questions

How do I start an integration between BHuman and kazm?

To start, connect both your BHuman and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in BHuman triggers actions in kazm (or vice versa).

Can we customize how data from BHuman is recorded in kazm?

Absolutely. You can customize how BHuman 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.

How often does the data sync between BHuman and kazm?

The data sync between BHuman and kazm typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from BHuman to kazm?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between BHuman and kazm?

Yes, you can set conditional logic to control the flow of data between BHuman 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.

BHuman

About BHuman

BHuman , a powerful tool that allows you to generate customized videos using AI. With our API, you can easily integrate video generation capabilities into your applications and create stunning, personalized content for your users.

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kazm

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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