
When this happens...
New Document
New Dataset
Automatically do this!
Send Message To AI
Call AI Agent Instantly
Setup Webhook for Alert
Call AI Agent in Background
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new document is created.
Triggers when a new dataset is created.
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.
Action is the task that follows automatically within your Cradl AI integrations.
Get all existing documents.
Create a new dataset.
Create a new document.
Get all existing users.
List all Agent in Cradl AI.
Create a new agent.

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To start, connect both your Cradl AI and Gtwy accounts to viaSocket. Once connected, you can set up a workflow where an event in Cradl AI triggers actions in Gtwy (or vice versa).
Absolutely. You can customize how Cradl AI data is recorded in Gtwy. This includes choosing which data fields go into which fields of Gtwy, setting up custom formats, and filtering out unwanted information.
The data sync between Cradl AI and Gtwy 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 Cradl AI and Gtwy. 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.
Cradl AI is a no-code tool for automating document workflows using customized AI - fully automated or with human-in-the-loop validation.
Learn MoreAI 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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