Connect Magicbricks and Nyckel to Build Intelligent Automations
Ready to use Magicbricks and Nyckel automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Leads
Triggers when the new lead is captured.
Do thisActions
Action is the task that follows automatically within your Magicbricks integrations.
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 Magicbricks and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Magicbricks triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Magicbricks 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 Magicbricks 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 Magicbricks 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 Magicbricks
Magicbricks is a leading real estate platform that connects buyers, sellers, and renters with a wide range of property listings. It offers comprehensive tools and resources for property search, valuation, and real estate insights.
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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