Connect Patreon and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Patreon and GPT-trainer
Enable Integrations or automations with these events of Patreon and GPT-trainer
Actions
Fetch Current User Info
Retrieves the authenticated Patreon user's profile information
Fetch Creator Profile and Campaign Information
Retrieves the authenticated Patreon user’s campaign details, including rewards, goals, and pledges
List All Campaign
List all the campaign
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
Create URL Source
Creates a URL source for a chatbot specified by chatbot uuid.
Create Source Tag
Create a source tag for a chatbot.
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Frequently Asked Questions
To start, connect both your Patreon and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Patreon triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Patreon 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 Patreon 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 Patreon 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 Patreon
Patreon is a membership platform that provides tools for creators to run a subscription content service, offering ways for artists, writers, and other creators to earn a monthly income by providing rewards and perks to their subscribers.
Learn MoreAbout 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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