Connect Rocketlane and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project Created
Project Updated
Task Updated
Choose an Action
Automatically do this!
Create Chat Completion
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Project Created
Triggers when a new project is created.
Project Updated
Triggers when a project is updated.
Task Updated
Triggers when a task is updated.
Do thisActions
Action is the task that follows automatically within your Rocketlane integrations.
Create Project
Creates a project.
Archive Project
Archives a project.
Create Task
Creates a task.
Delete Project
Deletes a project.
Import Template to Project
Imports one templates to a project.
Update Project
Updates a project.
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Frequently Asked Questions
To start, connect both your Rocketlane and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Rocketlane triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Rocketlane data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Rocketlane and AI/ML API 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 Rocketlane and AI/ML API. 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 Rocketlane
Rocketlane is a collaborative customer onboarding platform that helps you shorten time to value and deliver a delightful onboarding experience.
Learn MoreAbout AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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