
When this happens...
Account Created
Timeline Entry Created
Tag Updated
Tag Deleted
Tag Created
Rev Org Created
Part Updated
Part Deleted
Part Created
Group Updated
Group Member Added
Group Created
Dev User Updated
Dev User Created
Conversation Updated
Conversation Deleted
Conversation Created
AI Agent Response
Account Updated
Account Deleted
Webhook Created
Work Created
Work Updated
Work deleted

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When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a new Account is created.
Trigger when a new Timeline Entry Created.
Trigger when a new Tag Updated.
Trigger when a Tag Deleted.
Trigger when a new Tag Created.
Trigger when a new Rev Org Created.
Action is the task that follows automatically within your DevRev integrations.
Updates the user corresponding to the input ID.
Lists users within your organization.
Lists a collection of parts
Gets a part’s information.
Lists a collection of parts by Type.
Updates a part’s information.

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To start, connect both your DevRev and Acuity Scheduling accounts to viaSocket. Once connected, you can set up a workflow where an event in DevRev triggers actions in Acuity Scheduling (or vice versa).
Absolutely. You can customize how DevRev data is recorded in Acuity Scheduling. This includes choosing which data fields go into which fields of Acuity Scheduling, setting up custom formats, and filtering out unwanted information.
The data sync between DevRev and Acuity Scheduling 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 DevRev and Acuity Scheduling. 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.
DevRev is an AI-powered platform designed to streamline and enhance the software development and customer relationship management processes. It integrates development and customer support, enabling teams to efficiently manage product development, track issues, and improve customer interactions through AI-driven insights and automation.
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