Connect Scale and Causal to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Scale
Choose an Action
Automatically do this!
- Request a new Action for Causal
Enable Integrations or automations with these events of Scale and Causal
Enable Integrations or automations with these events of Scale and Causal
Actions
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.
Resume Batch
Resume processing of a paused Batch. Previously paused tasks will be resumed.
Finalize a batch
Mark a Scale batch as complete so no new tasks can be added.
Cancel Batch
Cancel processing of a Batch. Unstarted tasks will be cancelled. Completed batches cannot be cancelled.
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Frequently Asked Questions
To start, connect both your Scale and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in Scale triggers actions in Causal (or vice versa).
Absolutely. You can customize how Scale data is recorded in Causal. This includes choosing which data fields go into which fields of Causal, setting up custom formats, and filtering out unwanted information.
The data sync between Scale and Causal 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 Scale and Causal. 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 Scale
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
Learn MoreAbout Causal
Causal is a modern tool designed to simplify financial modeling, forecasting, and data analysis. It allows users to create dynamic models with ease, offering a more intuitive and collaborative approach to handling complex data. With Causal, users can connect their data sources, visualize outcomes, and share insights seamlessly, making it an ideal solution for businesses and individuals looking to enhance their decision-making processes.
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