When this happens...
New Run
Complete Step
Step Late
Run started
Run late
Run Completed

Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a run is started.
Triggers when a workflow step is completed
Triggers when the workflow step is late.
Triggers when the workflow is started.
Triggers when the workflow is late.
Triggers when the workflow is completed.
Action is the task that follows automatically within your Manifestly Checklists integrations.
Creates a run of a workflow.
List all the details of the workflow.
Add a step to an existing workflow.
Create or update a workflow. If the external_id is specified and found, the workflow is updated. Otherwise, a new workflow is created.
Update a Run.
List All Active Workflows

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To start, connect both your Manifestly Checklists and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Manifestly Checklists triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Manifestly Checklists data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Manifestly Checklists and V7 Go 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 Manifestly Checklists and V7 Go. 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.
Manifestly Checklists software improves collaboration and accountability in your organization's recurring processes.
Learn MoreV7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
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