Connect Chatwork and BigML to Build Intelligent Automations

Choose a Trigger

Chatwork

When this happens...

Choose an Action

BigML

Automatically do this!

Ready to use Chatwork and BigML automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Message in a Room

New Message in a Room

Triggers when new message is created in Room.

Message Updated

Message Updated

Triggers when message is updated in a Room.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for Chatwork

Do thisActions

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

Send Message

Send Message

Sends a new message to a specific group chat in ChatWork.

Get Chat Members

Get Chat Members

Get members of a chat room.

Add a task to a chat

Add a task to a chat

Add a new task to the chat.

Update Chat Room

Update Chat Room

update a chat room.

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 Chatwork and BigML?

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

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

Absolutely. You can customize how Chatwork 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 Chatwork and BigML?

The data sync between Chatwork 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 Chatwork 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 Chatwork and BigML?

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

Chatwork

About Chatwork

Chatwork is a collaborative platform designed to streamline communication and project management within teams. It offers features such as group chat, task management, file sharing, and video calls to enhance productivity and foster seamless collaboration.

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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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