Connect Lyzr and Deepstream to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between Lyzr and Deepstream?

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

Can we customize how data from Lyzr is recorded in Deepstream?

Absolutely. You can customize how Lyzr data is recorded in Deepstream. This includes choosing which data fields go into which fields of Deepstream, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Lyzr and Deepstream?

The data sync between Lyzr and Deepstream 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 Lyzr to Deepstream?

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 Lyzr and Deepstream?

Yes, you can set conditional logic to control the flow of data between Lyzr and Deepstream. 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.

Lyzr

About Lyzr

Lyzr is an advanced AI-driven platform designed to provide businesses with powerful analytics and insights. By leveraging cutting-edge artificial intelligence technologies, Lyzr helps organizations make data-driven decisions, optimize operations, and enhance overall performance. The platform is ideal for companies looking to harness the power of AI to gain a competitive edge in their industry.

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Deepstream

About Deepstream

Deepstream is a high-performance server designed for real-time data synchronization and messaging, enabling developers to build scalable and responsive applications with ease. It provides features like data sync, event handling, and presence management, making it ideal for applications requiring real-time collaboration and communication.

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