Connect GAS-test and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
New Record created,updated or deleted
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 Record created,updated or deleted
Do thisActions
Action is the task that follows automatically within your GAS-test integrations.
Fetch Test Entry
Retrieves a specific test entry from the GAS-test service.
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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 GAS-test and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in GAS-test triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how GAS-test 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 GAS-test 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 GAS-test 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 GAS-test
GAS-test is a configuration tool designed for creating and managing actions and triggers within the Viasocket platform. It allows users to automate workflows and integrate various services seamlessly.
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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