When this happens...
Error Alert
Missing Variable Alert
Retry Alert is Created
New Broadcast Response

Automatically do this!
Enable Integrations or automations with these events of Gtwy and KNIME
Send an alert when an error occurs for one or more selected bridges.
Send an alert for selected bridges when required variables are missing, prompting you to correct the configuration.
Triggers when retry alert is created.
Runs when new broadcast response is created.
Sends a message to the selected AI agent and returns its reply.
Send a message to the selected AI agent and return a fast, in-flow reply.
You can setup your webhook to get alert notifications.
Send a message to an AI agent to run asynchronously and receive the reply via webhook when ready.

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To start, connect both your Gtwy and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Gtwy triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Gtwy data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between Gtwy and KNIME typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Gtwy and KNIME. 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.
AI Middleware is a platform designed to facilitate seamless integration and interaction between artificial intelligence systems and other software applications. It acts as an intermediary layer that simplifies the communication and data exchange processes, enabling developers to build more efficient and scalable AI-driven solutions.
Learn MoreKNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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