Connect Document360 and kazm to Build Intelligent Automations

Choose a Trigger

Document360

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of Document360 and kazm

Enable Integrations or automations with these events of Document360 and kazm

Actions

Create a Document

Create a Document

Creates a new document

Update a Document

Update a Document

Updates the details of the document by it's id.

Request a new Action for Document360

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Frequently Asked Questions

How do I start an integration between Document360 and kazm?

To start, connect both your Document360 and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Document360 triggers actions in kazm (or vice versa).

Can we customize how data from Document360 is recorded in kazm?

Absolutely. You can customize how Document360 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 Document360 and kazm?

The data sync between Document360 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 Document360 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 Document360 and kazm?

Yes, you can set conditional logic to control the flow of data between Document360 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.

Document360

About Document360

Document360 is a knowledge base software that helps to create, collaborate, and publish a self-service knowledge base for your products or services with ease.

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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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