Connect Hotmart and Numerai to Build Intelligent Automations
Choose a Trigger
When this happens...
Change Plan
Choose an Action
Automatically do this!
- Request a new Action for Numerai
Enable Integrations or automations with these events of Hotmart and Numerai
Enable Integrations or automations with these events of Hotmart and Numerai
Triggers
Change Plan
Tiggers when there is change in plan.
Actions
Get sales price
Get all sales price.
List products
Get all products.
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Frequently Asked Questions
To start, connect both your Hotmart and Numerai accounts to viaSocket. Once connected, you can set up a workflow where an event in Hotmart triggers actions in Numerai (or vice versa).
Absolutely. You can customize how Hotmart data is recorded in Numerai. This includes choosing which data fields go into which fields of Numerai, setting up custom formats, and filtering out unwanted information.
The data sync between Hotmart and Numerai 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 Hotmart and Numerai. 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 Hotmart
Hotmart is a comprehensive platform designed for digital product creators and entrepreneurs to sell, manage, and promote their products online. It offers tools for payment processing, marketing, and analytics to help users grow their business.
Learn MoreAbout Numerai
Numerai is a unique hedge fund that leverages the power of data science and machine learning to make stock market predictions. It operates as a decentralized network where data scientists from around the world can contribute their models to improve the fund's performance. By using encrypted data, Numerai ensures privacy and security while fostering collaboration among its community of data scientists.
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