Connect Acadle and Nanonets to Build Intelligent Automations
Enable Integrations or automations with these events of Acadle and Nanonets
Enable Integrations or automations with these events of Acadle and Nanonets
Triggers
New User
Triggers when a new user is created.
User Activated
Triggers when a new user is activated.
User Deactivated
Triggers when a new user is deactivated.
Actions
Create User
Action for Creates a User /invite
Get User List
Get User List
List Groups
Get User Profile
Get User Profile
Update User Status
Activate or deactivate a user in your Acadle account by Email
Create Group
Creates a new access group in the academy with name,status, reference ID.
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Frequently Asked Questions
To start, connect both your Acadle and Nanonets accounts to viaSocket. Once connected, you can set up a workflow where an event in Acadle triggers actions in Nanonets (or vice versa).
Absolutely. You can customize how Acadle data is recorded in Nanonets. This includes choosing which data fields go into which fields of Nanonets, setting up custom formats, and filtering out unwanted information.
The data sync between Acadle and Nanonets 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 Acadle and Nanonets. 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 Acadle
Acadle is an online learning management system (LMS) that allows organizations to create, manage, and deliver educational courses and training programs. It provides tools for course creation, user management, and progress tracking, making it ideal for businesses, educational institutions, and training providers.
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About Nanonets
Nanonets is a cutting-edge AI platform that specializes in automating data extraction and processing using machine learning models. It allows businesses to streamline their workflows by converting unstructured data into structured formats, enhancing efficiency and accuracy in data handling.
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