Connect Waveline Extract and Memory to Build Intelligent Automations
Enable Integrations or automations with these events of Waveline Extract and Memory
Enable Integrations or automations with these events of Waveline Extract and Memory
Actions
Create Job - Extract Document
Create the job to extracts data(JSON) from your document.
Get Job
Get the result of a job you created earlier with Extract Document
Create a record
Add a new record to Memory or update an existing one.
Find record
Find items by ID or matching fields.
Update a record
Modify specific records using the Update by ID action. This allows you to directly update a particular entry in your MongoDB storage by its unique identifier, ensuring precise changes to your stored data.
Delete record by Id
Maintain an organized and efficient workflow by removing unnecessary data with the Delete action. This allows you to securely delete obsolete records, optimizing your storage for active and relevant information.
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Frequently Asked Questions
To start, connect both your Waveline Extract and Memory accounts to viaSocket. Once connected, you can set up a workflow where an event in Waveline Extract triggers actions in Memory (or vice versa).
Absolutely. You can customize how Waveline Extract data is recorded in Memory. This includes choosing which data fields go into which fields of Memory, setting up custom formats, and filtering out unwanted information.
The data sync between Waveline Extract and Memory 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 Waveline Extract and Memory. 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 Memory
A seamless, secure vault for your crucial data. The "Memory" integration offers MongoDB-based storage, enabling Create, Read, Update, and Delete operations. Effortlessly manage and safeguard your data within your automation flows, ensuring easy access and precise control throughout the process.
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