
When this happens...
New conversation arrives
Get recent messages
Get recent agents
Fetch recent agent messages

Automatically do this!
Enable Integrations or automations with these events of AgentX and Amazon DynamoDB
Start a workflow for each new conversation received by the selected AgentX agent.
Retrieves messages from the selected conversation posted in the last few minutes.
Returns agents created within the selected time window, newest first.
Retrieve the agent's messages from the selected conversation that were sent recently.
Create a new chat with the selected agent so you can send messages and get responses.
Start a conversation with the selected agent and send your initial message.
Send a message from the chosen Agent into an existing conversation so the Agent can reply.

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To start, connect both your AgentX and Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in AgentX triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how AgentX data is recorded in Amazon DynamoDB. This includes choosing which data fields go into which fields of Amazon DynamoDB, setting up custom formats, and filtering out unwanted information.
The data sync between AgentX and Amazon DynamoDB 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 Amazon DynamoDB. 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 MoreAmazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It is designed to handle large amounts of data and provide high availability and durability, making it ideal for applications that require consistent, single-digit millisecond latency at any scale.
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