Connect Predis.ai and kazm to Build Intelligent Automations

Choose a Trigger

Predis.ai

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of Predis.ai and kazm

Enable Integrations or automations with these events of Predis.ai and kazm

Actions

Create Content

Create Content

Initiates the Create Content process.

Get Contents

Get Contents

Get all post created in brand.

Get Templates

Get Templates

Get all templates created in brand.

Request a new Action for Predis.ai

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Frequently Asked Questions

How do I start an integration between Predis.ai and kazm?

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

Can we customize how data from Predis.ai is recorded in kazm?

Absolutely. You can customize how Predis.ai 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 Predis.ai and kazm?

The data sync between Predis.ai 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 Predis.ai 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 Predis.ai and kazm?

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

Predis.ai

About Predis.ai

Predis.ai helps you make Branded Social media content - Videos/Carousels/single-image posts from text input.

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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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