Integrate BigML with Respond.io to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Start from a real workflow other teams are already running.
BigML
When this happens...
New Resource
Respond.io
Automatically do this!
Assign/Unassign Conversation
List All Users
List All Contacts
Create a Comment
Add Space Tag
Add Tags
Create Contact
Create Custom Field
Update Contact
Update Contact Lifecycle
Open/Close Conversation
Update Space Tag
Find Contact
List or Get Message
List Contact Channel
Delete Space Tag
Delete Contact
Send Message
List All Users in Respondio when New Resource in Bigml
Use this flowList All Contacts in Respondio when New Resource in Bigml
Use this flowAdd Tags in Respondio when New Resource in Bigml
Use this flowCreate Contact in Respondio when New Resource in Bigml
Use this flowUpdate Contact in Respondio when New Resource in Bigml
Use this flowUpdate Contact Lifecycle in Respond.io when New Resource in Bigml
Use this flowOpen/Close Conversation in Respondio when New Resource in Bigml
Use this flowUpdate Space Tag in Respondio when New Resource in Bigml
Use this flowFind Contact in Respondio when New Resource in Bigml
Use this flowList or Get Message from Respond.io when New Resource in Bigml
Use this flowEverything you can automate between BigML and Respond.io.
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new resource is created
Triggers when new contact created.
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 morerespond.io unifies customer communication across instant messaging, web chat, and email for organizations that market, sell, and support.
Learn moreSign up for a free viaSocket account, then authorize both your BigML and Respond.io 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 Respond.io 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 Respond.io. No coding required.
Yes. You can set up a workflow where BigML triggers actions in Respond.io, and a separate workflow where Respond.io 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 Respond.io. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire BigML and Respond.io integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.