Connect BigML and Skyvern
Integrate BigML with Skyvern to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Popular BigML + Skyvern flows
Start from a real workflow other teams are already running.
Choose a trigger
BigML
When this happens...
New Resource
Choose an action
Skyvern
Automatically do this!
Run a Workflow
Create and Run Task
Get a Task
Create Browser Session
Create Folder
Create and Run Task in Skyvern when New Resource in Bigml
Use this flowGet a Task from Skyvern when New Resource in Bigml
Use this flowCreate Browser Session with Skyvern when New Resource in Bigml
Use this flowCreate Folder in Skyvern when New Resource in Bigml
Use this flowCreate Anomaly Score in Bigml when New or Updated Skyvern Workflow in Skyvern
Use this flowCreate Centroid using BigML when New or Updated Skyvern Workflow in Skyvern
Use this flowCreate Prediction in BigML when New or Updated Skyvern Workflow in Skyvern
Use this flowFind Resource in Bigml when New or Updated Skyvern Workflow in Skyvern
Use this flowList Sources from BigML when New or Updated Skyvern Workflow in Skyvern
Use this flowList Datasets from BigML when New or Updated Skyvern Workflow in Skyvern
Use this flowSupported Triggers & Actions
Everything you can automate between BigML and Skyvern.
When this happensTriggers
A trigger is an event that starts a workflow.
New Resource
Triggers when a new resource is created
New or Updated Skyvern Workflow
Fetch Skyvern workflows created or updated within the specified recent time window and return them newest first.
Do thisActions
Action is the task that follows automatically within your BigML integrations.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
Create Prediction
Predict using a model , logistic regression or deepnets
Find Resource
Finds a resource
List Sources
Get all the sources.
List Datasets
Get all the dataset.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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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.
Learn more
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.
Learn moreSimilar apps
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your BigML and Skyvern accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between BigML and Skyvern as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Skyvern. No coding required.
Yes. You can set up a workflow where BigML triggers actions in Skyvern, and a separate workflow where Skyvern triggers actions in BigML. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between BigML and Skyvern. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire BigML and Skyvern integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
