Connect Quire and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
New Task in Project
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Task in Project
Trigger when new task is created.
Do thisActions
Action is the task that follows automatically within your Quire integrations.
Get all organizations
Get all existing organizations
Find User
find an existing user in quire account.
Find task by ID
Find task by Id.
Create Task Comment
Update Task
update an existing task.
Create Task
Add a new task in a project.
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Frequently Asked Questions
To start, connect both your Quire and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Quire triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Quire 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 Quire 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 Quire 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 Quire
Quire is a collaborative project management tool designed to help teams plan, organize, and execute their tasks efficiently. It offers features such as task lists, Kanban boards, and real-time collaboration to streamline project workflows.
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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