Connect News API and kazm to Build Intelligent Automations

Choose a Trigger

News API

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of News API and kazm

Enable Integrations or automations with these events of News API and kazm

Actions

Top headlines Sources

Top headlines Sources

The subset of news publishers that top headlines are available from.

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Frequently Asked Questions

How do I start an integration between News API and kazm?

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

Can we customize how data from News API is recorded in kazm?

Absolutely. You can customize how News API 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 News API and kazm?

The data sync between News API 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 News API 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 News API and kazm?

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

News API

About News API

News API is a powerful tool that provides access to a wide range of news articles and headlines from various sources across the globe. It allows developers to integrate news data into their applications, enabling users to stay updated with the latest news in real-time.

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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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