viaSocket

Connect BigML and Skyvern to Build Intelligent Automations

Choose a Trigger

BigML

When this happens...

Choose an Action

Skyvern

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Resource

New Resource

Triggers when a new resource is created

New or Updated Skyvern Workflow

New or Updated Skyvern Workflow

Fetch Skyvern workflows created or updated within the specified recent time window and return them newest first.

Request a new Trigger for BigML

Do thisActions

Action is the task that follows automatically within your BigML integrations.

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

Create Prediction

Create Prediction

Predict using a model , logistic regression or deepnets

Find Resource

Find Resource

Finds a resource

List Sources

List Sources

Get all the sources.

List Datasets

List Datasets

Get all the dataset.

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Frequently Asked Questions

How do I start an integration between BigML and Skyvern?

To start, connect both your BigML and Skyvern accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in Skyvern (or vice versa).

Can we customize how data from BigML is recorded in Skyvern?

Absolutely. You can customize how BigML data is recorded in Skyvern. This includes choosing which data fields go into which fields of Skyvern, setting up custom formats, and filtering out unwanted information.

How often does the data sync between BigML and Skyvern?

The data sync between BigML and Skyvern typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from BigML to Skyvern?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between BigML and Skyvern?

Yes, you can set conditional logic to control the flow of data between BigML and Skyvern. 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.

BigML

About BigML

BigML 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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Skyvern

About Skyvern

Skyvern is a cutting-edge platform designed to revolutionize the way businesses manage their operations and enhance productivity. With a focus on seamless integration and user-friendly interfaces, Skyvern offers a suite of tools that cater to various business needs, from project management to team collaboration. Its robust features are tailored to streamline workflows, improve communication, and drive efficiency across teams.

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