Connect Manus and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Manus
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Manus and kazm
Enable Integrations or automations with these events of Manus and kazm
Actions
Create Project
Create a new project and optionally add the first task with settings and attachments.
Add Prompt to Task
Add a new prompt to an existing task to continue the conversation.
Create Task
Create a new task, attach single or multiple files, and optionally link it to a project or connectors.
Delete Task
Delete a task by its Task ID.
Get Task Details
Get details for a specific task.
Update Task
Update a task's title, sharing settings, and visibility in the task list.
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Frequently Asked Questions
To start, connect both your Manus and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Manus triggers actions in kazm (or vice versa).
Absolutely. You can customize how Manus data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between Manus and kazm 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 Manus and kazm. 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 Manus
Manus is a collaborative platform designed for writers and teams to create, edit, and manage documents in real-time, enhancing productivity and creativity.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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