Connect Skyvern and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
New or Updated Skyvern Workflow
Choose an Action
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Ready to use Skyvern and BigML automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New or Updated Skyvern Workflow
Fetch Skyvern workflows created or updated within the specified recent time window and return them newest first.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Skyvern integrations.
Run a Workflow
Launch a Skyvern workflow run using a workflow ID and optional title, proxy location, webhook, and browser address. Returns the run ID, status, and a link to view the run.
Create and Run a Task V2
Create and run a complicated goal.
Create and Run a Task
Creates and starts a Skyvern task for a given URL and prompt, returning the task run ID, initial status, and app URL.
Get a Task
Fetch the full details of a specific task by its Task ID.
Create a session
Start a new Skyvern browser session. Optionally set a session timeout and choose a proxy location.
Create Anomaly Score
Calculates the anomaly score of a data instance.
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Frequently Asked Questions
To start, connect both your Skyvern and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Skyvern triggers actions in BigML (or vice versa).
Absolutely. You can customize how Skyvern 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 Skyvern 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 Skyvern 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.
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 MoreAbout 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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