Connect Chatwork and Roboflow to Build Intelligent Automations
Choose a Trigger
When this happens...
New Message in a Room
Message Updated
Choose an Action
Automatically do this!
- Request a new Action for Roboflow
Enable Integrations or automations with these events of Chatwork and Roboflow
Enable Integrations or automations with these events of Chatwork and Roboflow
Triggers
New Message in a Room
Triggers when new message is created in Room.
Message Updated
Triggers when message is updated in a Room.
Actions
Send Message
Sends a new message to a specific group chat in ChatWork.
Get the list of chat members
Get the list of all chat members associated with the specified chat .
Add a task to a chat
Add a new task to the chat.
Update Chat Room
update a chat room.
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Frequently Asked Questions
To start, connect both your Chatwork and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Chatwork triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Chatwork data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between Chatwork and Roboflow typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Chatwork and Roboflow. 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.
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.
Learn MoreAbout Roboflow
Roboflow is a platform designed to streamline the process of building, training, and deploying computer vision models. It provides tools for managing datasets, annotating images, and integrating machine learning models into applications, making it easier for developers and data scientists to work with visual data.
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