
When this happens...

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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new resource is created
Action is the task that follows automatically within your Kutt integrations.
Show all shortened links in your Kutt account.
Shorten a target link and return a short URL. Supports optional custom alias, expiry time, description, and password protection.
Delete a shortened link by its ID.
Calculates the anomaly score of a data instance.
Find out the closest cluster to your data instance
Predict using a model , logistic regression or deepnets

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To start, connect both your Kutt and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Kutt triggers actions in BigML (or vice versa).
Absolutely. You can customize how Kutt data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.
The data sync between Kutt and BigML 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 Kutt and BigML. 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.
Kutt is a modern URL shortener that provides a simple and efficient way to manage and track your links. With features like custom aliases, link analytics, and privacy controls, Kutt is ideal for individuals and businesses looking to optimize their link sharing and tracking processes.
Learn MoreBigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
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