Connect string and kazm to Build Intelligent Automations

Choose a Trigger

string

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of string and kazm

Enable Integrations or automations with these events of string and kazm

Actions

Mapping identifiers

Mapping identifiers

Retrieve Interaction Network

Retrieve Interaction Network

Get Interaction Partners

Get Interaction Partners

Functional Enrichment Analysis

Functional Enrichment Analysis

Request a new Action for string

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Frequently Asked Questions

How do I start an integration between string and kazm?

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

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

Absolutely. You can customize how string 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 string and kazm?

The data sync between string 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 string 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 string and kazm?

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

string

About string

String is a cloud-based direct phone line and messaging solution that scales and modernizes business texting, calling, and direct messaging.

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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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