Connect Gtwy and Cvent Webinar to Build Intelligent Automations
Enable Integrations or automations with these events of Gtwy and Cvent Webinar
Enable Integrations or automations with these events of Gtwy and Cvent Webinar
Triggers
Error Alert
Send an alert when an error occurs for one or more selected bridges.
Missing Variable Alert
Send an alert for selected bridges when required variables are missing, prompting you to correct the configuration.
retry alert is created
runs when retry alert is created
New Broadcast Response
Runs when new broadcast response is created.
Actions
Talk to AI
Give prompt to the selected AI agent and receive its reply.
Send Message to AI Agent
Send a message to the selected AI agent and receive its reply.
Setup wehook for alert
You can setup your webhook to get alert notifications.
Send Batch Chat Messages
Send a batch of chat messages to GTWY AI and get responses asynchronously.
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Frequently Asked Questions
To start, connect both your Gtwy and Cvent Webinar accounts to viaSocket. Once connected, you can set up a workflow where an event in Gtwy triggers actions in Cvent Webinar (or vice versa).
Absolutely. You can customize how Gtwy data is recorded in Cvent Webinar. This includes choosing which data fields go into which fields of Cvent Webinar, setting up custom formats, and filtering out unwanted information.
The data sync between Gtwy and Cvent Webinar 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 Cvent Webinar. 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.
About Gtwy
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.
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