Connect Dynamic Mockups and Nyckel to Build Intelligent Automations
Enable Integrations or automations with these events of Dynamic Mockups and Nyckel
Enable Integrations or automations with these events of Dynamic Mockups and Nyckel
Actions
Create Mockup Render
Returns an image URL based on your selected mockup template and provided design asset.
Import to Classifier
Import data to your Nyckel classifier
Classify
Classify image or text data
Center Detect
Detect Objects center in images
Train Classifier
Train your Nyckel classifier by adding more data
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Frequently Asked Questions
To start, connect both your Dynamic Mockups and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Dynamic Mockups triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Dynamic Mockups 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 Dynamic Mockups 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 Dynamic Mockups 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 Dynamic Mockups
Dynamic Mockups offers a powerful platform for creating interactive and responsive mockups for web and mobile applications. Ideal for designers and developers, it streamlines the process of visualizing and testing user interfaces.
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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