Connect FastSpring and Scale to Build Intelligent Automations
Enable Integrations or automations with these events of FastSpring and Scale
Enable Integrations or automations with these events of FastSpring and Scale
Actions
Create an Account
Creates a new account object.
Search Account By Email
Searches for an account by email.
Get Product By path
Retrieves the details of an existing product with the given product_path.
Get Tasks
Retrieve all the tasks for given project.
Create Batch
Create a new batch in a project to group related tasks for processing.
Pause Batch
Pause processing of an in-progress Batch. Only unstarted tasks will be paused.
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Frequently Asked Questions
To start, connect both your FastSpring and Scale accounts to viaSocket. Once connected, you can set up a workflow where an event in FastSpring triggers actions in Scale (or vice versa).
Absolutely. You can customize how FastSpring data is recorded in Scale. This includes choosing which data fields go into which fields of Scale, setting up custom formats, and filtering out unwanted information.
The data sync between FastSpring and Scale 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 FastSpring and Scale. 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 FastSpring
FastSpring is a comprehensive eCommerce platform designed to help businesses sell software, digital products, and services online. It offers a range of features including global payment processing, subscription management, and localized purchasing experiences to enhance customer satisfaction and streamline sales operations.
Learn MoreAbout Scale
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
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