Connect Bonusly and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of Bonusly and Labelf
Enable Integrations or automations with these events of Bonusly and Labelf
Triggers
New User Created
runs when New User Created
Bonus Created
Triggers when a bonus is created.
Achievement Created
Triggers when a achievement created.
Actions
Create New Admin User
Creates a New Admin User.
Update a User
Update a User detail.
List Users
Retturns list of all users from Bonusly.
List Achievements
View the 50 most recent achievements.
Create Bonus
This action allows to create Bonus.
Search User
This action Search a User by User ID.
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Frequently Asked Questions
To start, connect both your Bonusly and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Bonusly triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Bonusly data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Bonusly and Labelf 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 Bonusly and Labelf. 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 Bonusly
Bonusly is a fun, personal recognition and rewards program that enriches your company culture, improves employee engagement, and celebrates your core values. With Bonusly, everyone in your organization can publicly recognize everyone else by giving small bonuses that add up to meaningful rewards.
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About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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