Connect Clockodo and Nyckel to Build Intelligent Automations
Enable Integrations or automations with these events of Clockodo and Nyckel
Enable Integrations or automations with these events of Clockodo and Nyckel
Actions
Create Customer
Add a new customer with billing and status details and an optional note.
Create time entry
Add a work time entry with start and end times, project, customer, and billing details.
List customers
Retrieve all customers in your account.
Create Project
Create a customer project with optional dates, budget, and billing settings to track time and costs.
Create Service
Creates a new service.
Create SubProject
Create a subproject in a project with a name, billing, budget, and optional notes.
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Frequently Asked Questions
To start, connect both your Clockodo and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Clockodo triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Clockodo 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 Clockodo 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 Clockodo 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 Clockodo
Clockodo is a comprehensive time tracking software designed to help businesses efficiently manage and monitor employee work hours. It offers detailed reporting and seamless integration with various tools to streamline operations.
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About 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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