Connect Extracta.ai and Causal to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Extracta.ai
Choose an Action
Automatically do this!
- Request a new Action for Causal
Enable Integrations or automations with these events of Extracta.ai and Causal
Enable Integrations or automations with these events of Extracta.ai and Causal
Actions
Create extraction
Create a new extraction that pulls the specified data fields from your documents.
Update extraction
Update an extraction's name, description, language, processing options, or the data it extracts.
View extraction
Retrieve details for a specific extraction, including its name, language, options, status, and fields.
Delete extraction
Permanently deletes an entire extraction, a specific batch, or a single file inside a batch.
Upload files
Upload one or more files to an extraction for processing, and optionally add them to an existing batch.
Get extraction results
Retrieve processed results and file links for an extraction batch or a specific file.
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Frequently Asked Questions
To start, connect both your Extracta.ai and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in Extracta.ai triggers actions in Causal (or vice versa).
Absolutely. You can customize how Extracta.ai 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 Extracta.ai 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 Extracta.ai 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 Extracta.ai
Extracta.ai is a cutting-edge AI tool designed to streamline data extraction processes. It leverages advanced machine learning algorithms to efficiently extract, process, and analyze data from various sources, making it an invaluable asset for businesses looking to enhance their data-driven decision-making capabilities.
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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