Connect Heap Analytics and BigML
Integrate Heap Analytics with BigML to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Track Event in Heap Analytics when New Resource in Bigml
Add User to Heap in Heap Analytics when New Resource in Bigml
Delete Users in Heap Analytics when New Resource in Bigml
Add User Properties to Heap Analytics when New Resource in Bigml
Add Account Properties to Heap Analytics when New Resource in Bigml
Popular Heap Analytics + BigML flows
Start from a real workflow other teams are already running.
Choose a trigger
Heap Analytics
When this happens...
- Request a new Trigger for Heap Analytics
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
Track Event in Heap Analytics when New Resource in Bigml
Use this flowAdd User to Heap in Heap Analytics when New Resource in Bigml
Use this flowDelete Users in Heap Analytics when New Resource in Bigml
Use this flowAdd User Properties to Heap Analytics when New Resource in Bigml
Use this flowAdd Account Properties to Heap Analytics when New Resource in Bigml
Use this flowGet User Deletion Status from Heap Analytics when New Resource in Bigml
Use this flowSupported Triggers & Actions
Everything you can automate between Heap Analytics and BigML.
When this happensTriggers
A trigger is an event that starts a workflow.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Heap Analytics integrations.
Track Event
Send an event to Heap
Add User to Heap
Create or update a user in Heap
Delete Users
Submit users for deletion
Add User Properties
Add or update user properties
Add Account Properties
Add properties to account(s)
Get User Deletion Status
Check user deletion status
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 Heap Analytics
Heap Analytics collects and analyzes user event data to understand how users interact with a product.
Learn moreSimilar apps
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
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Heap Analytics 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 Heap Analytics 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 Heap Analytics triggers actions in BigML, and a separate workflow where BigML triggers actions in Heap Analytics. 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 Heap Analytics and BigML. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Heap Analytics 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.
