Connect Nifty and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Nifty
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Enable Integrations or automations with these events of Nifty and Nyckel
Enable Integrations or automations with these events of Nifty and Nyckel
Actions
Create Task
Creates a new task in a specific project or workspace.
Create Project
Creates a new project within an organization or team.
Create Milestone
Creates a new milestone to track project progress.
Search User Details
This endpoint fetch the user information.
Create Portfolio
creates new portfolio
Create Document
creates a new document.
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Frequently Asked Questions
To start, connect both your Nifty and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Nifty triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Nifty data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Nifty and Nyckel 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 Nifty and Nyckel. 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 Nifty
Nifty is a project management and team collaboration tool designed to streamline your workflow and enhance productivity. It offers features such as task management, time tracking, project timelines, and team communication to help you manage your projects efficiently.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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