Connect ShareFile and Gender API to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New File
Triggers when a new file is uploaded to a specified folder.
New Client
Triggers when a new client is created.
Do thisActions
Action is the task that follows automatically within your ShareFile integrations.
Add Note
Adds a note in the chosen folder.
Add URL
Adds a URL in the chosen folder.
Create Client User
Creates a ShareFile user with the given information.
Create Folder
Creates a folder in the chosen folder.
Get Statistic
With this call, you can pull some stats on your account.
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Frequently Asked Questions
To start, connect both your ShareFile and Gender API accounts to viaSocket. Once connected, you can set up a workflow where an event in ShareFile triggers actions in Gender API (or vice versa).
Absolutely. You can customize how ShareFile data is recorded in Gender API. This includes choosing which data fields go into which fields of Gender API, setting up custom formats, and filtering out unwanted information.
The data sync between ShareFile and Gender API 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 ShareFile and Gender API. 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 ShareFile
ShareFile is a secure file sharing and storage solution designed for businesses to easily send, receive, and store large files. It offers robust security features, customizable workflows, and seamless integration with other business tools to enhance productivity and collaboration.
Learn MoreAbout Gender API
Gender API is a service that provides gender identification based on names. It helps businesses and developers to determine the gender of a person using their first name, which can be useful for personalization, analytics, and demographic analysis.
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