Connect ReadMe and kazm to Build Intelligent Automations
Enable Integrations or automations with these events of ReadMe and kazm
Enable Integrations or automations with these events of ReadMe and kazm
Triggers
Updated branches
Retrieve branches updated in the last N minutes.
Actions
Show documentation branches
Show all documentation branches and their base, privacy, release stage, and last updated time.
Create documentation category
Create a new documentation category in the selected branch and section.
Update category
Update a category's title, sidebar position, or section in the selected ReadMe branch.
Create custom page
Create a documentation page in a selected project version by setting the title, URL slug, content, appearance, SEO metadata, and visibility.
Upload image
Add an image to your ReadMe documentation.
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Frequently Asked Questions
To start, connect both your ReadMe and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in ReadMe triggers actions in kazm (or vice versa).
Absolutely. You can customize how ReadMe 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 ReadMe 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 ReadMe 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 ReadMe
ReadMe is a comprehensive platform designed to help businesses create, manage, and share API documentation effortlessly. It offers tools for interactive documentation, user guides, and developer portals, enhancing the developer experience and streamlining communication.
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About 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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