Connect Vercel and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of Vercel and Labelf
Enable Integrations or automations with these events of Vercel and Labelf
Triggers
Deployment Failed
Triggers when the project deployment is failed
Deployment Canceled
Triggers when deployment is canceled
Deployment Created
Triggers when a new deployment is created
Project Created
Triggers when a project is created
Actions
List Projects
List all an existing projects.
List Deployments
List all an existing deployments.
Get User
Retrieves information related to the currently authenticated User.
Add a domain to a project
Adds a domain to a project.
Update a Project Domain
Updates a project domain.
Delete a Deployment
Deletes a deployment.
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Frequently Asked Questions
To start, connect both your Vercel and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Vercel triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Vercel data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Vercel and Labelf 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 Vercel and Labelf. 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 Vercel
Vercel is a cloud platform for static sites and serverless functions that enables developers to deploy websites and applications with ease. It provides a seamless workflow for frontend developers, offering features like automatic scaling, high performance, and a global CDN.
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About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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