Connect Chatlayer and BigML to Build Intelligent Automations

Choose a Trigger

Chatlayer

When this happens...

Choose an Action

BigML

Automatically do this!

Use the Built-in Integrations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Bot

New Bot

Triggered when a new bot is created.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for Chatlayer

Do thisActions

Action is the task that follows automatically within your Chatlayer integrations.

Send Message

Send Message

Sends a message to a user through Chatlayer.

Create Channel

Create Channel

Creates a Channel.

Delete Channel

Delete Channel

Delete an existing channel.

Extract NLP Result

Extract NLP Result

Extract results from the Chatlayer NLP models of your bots.

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

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Frequently Asked Questions

How do I start an integration between Chatlayer and BigML?

To start, connect both your Chatlayer and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Chatlayer triggers actions in BigML (or vice versa).

Can we customize how data from Chatlayer is recorded in BigML?

Absolutely. You can customize how Chatlayer 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.

How often does the data sync between Chatlayer and BigML?

The data sync between Chatlayer and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Chatlayer to BigML?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Chatlayer and BigML?

Yes, you can set conditional logic to control the flow of data between Chatlayer 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.

Chatlayer

About Chatlayer

Chatlayer is a powerful AI-driven platform designed to create, manage, and optimize chatbots for various communication needs. It enables businesses to automate customer interactions, enhance user engagement, and improve customer support through intelligent conversational agents.

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BigML

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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