Integrate BigML with api.video to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Prediction in BigML when Live Stream Started on api.video
Find Resource in Bigml when Live Stream Started on api.video
List Sources from BigML when Live Stream Started on api.video
List Sample from BigML when Live Stream Started on api.video
List Time Series from BigML when Live Stream Started on api.video
Start from a real workflow other teams are already running.
BigML
When this happens...
New Resource
api.video
Automatically do this!
Create Prediction in BigML when Live Stream Started on api.video
Use this flowFind Resource in Bigml when Live Stream Started on api.video
Use this flowList Sources from BigML when Live Stream Started on api.video
Use this flowList Sample from BigML when Live Stream Started on api.video
Use this flowList Time Series from BigML when Live Stream Started on api.video
Use this flowList Predictions from BigML when Live Stream Started on api.video
Use this flowList Batch Predictions from BigML when Live Stream Started on api.video
Use this flowList Anomaly Scores from BigML when Live Stream Started on api.video
Use this flowList Batch Anomaly Scores from BigML when Live Stream Started on api.video
Use this flowList Batch Projections from BigML when Live Stream Started on api.video
Use this flowEverything you can automate between BigML and api.video.
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new resource is created
This Trigger will fire when a Live stream has Begun Broadcasting
Triggers whe a Live stream ended
Returns newly created live streams at scheduled time intervals.
Returns newly created videos based on the scheduled time interval.
Action is the task that follows automatically within your BigML integrations.
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
Finds a resource
Get all the sources.
Get all the dataset.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
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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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 moreapi.video is a video hosting and streaming service that allows users to upload, manage, and deliver videos with ease. It provides APIs to integrate video functionalities into applications.
Learn moreSign up for a free viaSocket account, then authorize both your BigML and api.video 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 api.video 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 api.video. No coding required.
Yes. You can set up a workflow where BigML triggers actions in api.video, and a separate workflow where api.video 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 api.video. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire BigML and api.video integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.