Connect YourGPT and Lago to Build Intelligent Automations
Choose a Trigger
When this happens...
Message Received
User Message Sent
Choose an Action
Automatically do this!
List All Invoices
Get an Invoice
List Plans
Get Subscription Plan
Ready to use YourGPT and Lago automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Message Received
Triggers when a new message is received in your YourGPT chatbot session.
User Message Sent
Triggers when a user sends a message to the YourGPT chatbot in an active session.
New Payment Arrives
Runs when new payment arrives
New Customer Created
Runs when a new customer is created.
Do thisActions
Action is the task that follows automatically within your YourGPT integrations.
Send Message
To send a new message.
Create New Session
To create a new Session
List All Invoices
Show invoices and usage totals
Get an Invoice
Show invoice details & totals
List Plans
Show all subscription plans
Get Subscription Plan
Get subscription plan by code
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Frequently Asked Questions
To start, connect both your YourGPT and Lago accounts to viaSocket. Once connected, you can set up a workflow where an event in YourGPT triggers actions in Lago (or vice versa).
Absolutely. You can customize how YourGPT data is recorded in Lago. This includes choosing which data fields go into which fields of Lago, setting up custom formats, and filtering out unwanted information.
The data sync between YourGPT and Lago 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 YourGPT and Lago. 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 YourGPT
YourGPT is an advanced AI tool designed to assist users in generating human-like text based on the input provided. It leverages state-of-the-art machine learning models to understand and produce text that is coherent and contextually relevant, making it ideal for content creation, customer support, and more.
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