
When this happens...
New Conversation
Get recent messages
New Agent
Fetch recent agent messages
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 New Conversation Started With an Agent.
Retrieves messages from the selected conversation posted in the last few minutes.
Triggers when a new agent is created.
Retrieve the agent's messages from the selected conversation that were sent recently.
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.
Action is the task that follows automatically within your AgentX integrations.
Start a new chat with an agent
Start chat and send message
Send a message from Agent
Show agents and apply filters
Get agent conversations
List all workforces

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To start, connect both your AgentX and Gtwy accounts to viaSocket. Once connected, you can set up a workflow where an event in AgentX triggers actions in Gtwy (or vice versa).
Absolutely. You can customize how AgentX 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 AgentX 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 AgentX 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.
AgentX is a versatile platform designed to streamline and enhance your workflow with powerful automation and integration capabilities.
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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