Connect OneDrive and BigML
Integrate OneDrive with BigML to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Popular OneDrive + BigML flows
Start from a real workflow other teams are already running.
Choose a trigger
OneDrive
When this happens...
New File
New Folder
Choose an action
BigML
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
Create Anomaly Score in Bigml when New File in OneDrive
Use this flowCreate Centroid using BigML when New File in OneDrive
Use this flowCreate Prediction in BigML when New File in OneDrive
Use this flowFind Resource in Bigml when New File in OneDrive
Use this flowList Sources from BigML when New File in OneDrive
Use this flowList Datasets from BigML when New File in OneDrive
Use this flowList Sample from BigML when New File in OneDrive
Use this flowList Model from BigML when New File in OneDrive
Use this flowList Time Series from BigML when New File in OneDrive
Use this flowList Evaluations from BigML when New File in OneDrive
Use this flowSupported Triggers & Actions
Everything you can automate between OneDrive and BigML.
When this happensTriggers
A trigger is an event that starts a workflow.
New File
Triggers when a new file is added.
New Folder
Trigger when new folder is added.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your OneDrive integrations.
Create Folder
Create a new folder in your OneDrive root, a specified parent folder, or a shared folder. Automatically renames if a folder with the same name already exists.
Upload a New File
Upload a new file
Find File
Find a .txt or .md file
Find Folders
Search your OneDrive for folders by name. You can search your whole drive, look inside a specific parent folder, and include folders that others have shared with you.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
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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AI will build it for you
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 OneDrive
Microsoft OneDrive is a file hosting service operated by Microsoft. First released in August 2007, it allows registered users to store, share and sync their files. OneDrive also works as the storage backend of the web version of Microsoft 365 / Office.
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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.
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Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your OneDrive and BigML 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 OneDrive and BigML 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 BigML. No coding required.
Yes. You can set up a workflow where OneDrive triggers actions in BigML, and a separate workflow where BigML triggers actions in OneDrive. 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 OneDrive and BigML. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire OneDrive and BigML integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
