Connect Lago and GPT-trainer to Build Intelligent Automations
Choose a Trigger
When this happens...
New Payment Arrives
New Customer Created
New Plan
New Invoice Created
Choose an Action
Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Ready to use Lago and GPT-trainer automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Payment Arrives
Runs when new payment arrives
New Customer Created
Runs when a new customer is created.
New Plan
Triggers when a new plan is created.
New Invoice Created
Triggers When a new invoice is created
Do thisActions
Action is the task that follows automatically within your Lago integrations.
Create Invoice
Create a new invoice
List All Customers
Retrieve filtered customers
List Subscriptions
Get filtered subscriptions
List All Invoices
Show invoices and usage totals
Get an Invoice
Show invoice details & totals
List Plans
Show all subscription plans
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Frequently Asked Questions
To start, connect both your Lago and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Lago triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Lago data is recorded in GPT-trainer. This includes choosing which data fields go into which fields of GPT-trainer, setting up custom formats, and filtering out unwanted information.
The data sync between Lago and GPT-trainer 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 Lago and GPT-trainer. 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 GPT-trainer
GPT Trainer is a platform designed to enhance and customize the training of AI models, particularly those based on the GPT architecture. It provides tools and resources for developers and researchers to fine-tune and optimize AI models for specific tasks and applications.
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