Connect Chartbrew and Kobocat to Build Intelligent Automations
Enable Integrations or automations with these events of Chartbrew and Kobocat
Enable Integrations or automations with these events of Chartbrew and Kobocat
Actions
Create Team
Create a new team and set branding, report refresh, and export permissions.
Get Team Details
Get details for a Chartbrew team using its team ID.
Update Team
Update a team's name, branding visibility, and report refresh/export permissions.
Create Project
Create a new project and initial dashboard in the selected team.
Get Team Projects
Get all projects for a specified team
Get Project Details
Get a project's details by its project ID.
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Frequently Asked Questions
To start, connect both your Chartbrew and Kobocat accounts to viaSocket. Once connected, you can set up a workflow where an event in Chartbrew triggers actions in Kobocat (or vice versa).
Absolutely. You can customize how Chartbrew data is recorded in Kobocat. This includes choosing which data fields go into which fields of Kobocat, setting up custom formats, and filtering out unwanted information.
The data sync between Chartbrew and Kobocat 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 Chartbrew and Kobocat. 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 Chartbrew
Chartbrew is a powerful tool for creating and managing data visualizations. It allows users to connect to various data sources and build interactive charts and dashboards, making data analysis and presentation seamless and efficient.
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About Kobocat
Kobocat is a powerful tool for data collection and analysis, designed to facilitate the gathering of information through surveys and forms. It is widely used in research, humanitarian, and development sectors to streamline data collection processes and ensure accurate data management.
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