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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Document
Triggers when a new document is created.
New Dataset
Triggers when a new dataset is created.
Do thisActions
Action is the task that follows automatically within your MagicalAPI integrations.
Get Profile Data
Gets profile data from LinkedIn using the provided username.
Get Company Data
Retrieves company information from MagicalAPI using name, LinkedIn username, or website.
Score resume for job
Generate a single score that shows how well a resume matches a job description.
Review Resume
Submits a resume for review.
Extract resume details
Parses resume document from a public file URL and returns extracted details.
List Documents
Get all existing documents.
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Frequently Asked Questions
To start, connect both your MagicalAPI and Cradl AI accounts to viaSocket. Once connected, you can set up a workflow where an event in MagicalAPI triggers actions in Cradl AI (or vice versa).
Absolutely. You can customize how MagicalAPI data is recorded in Cradl AI. This includes choosing which data fields go into which fields of Cradl AI, setting up custom formats, and filtering out unwanted information.
The data sync between MagicalAPI and Cradl AI 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 MagicalAPI and Cradl AI. 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 MagicalAPI
MagicalAPI enables seamless integration for developers by providing scalable APIs for resume analysis and structured data extraction from public LinkedIn profiles and company pages.
Learn MoreAbout Cradl AI
Cradl AI is a no-code tool for automating document workflows using customized AI - fully automated or with human-in-the-loop validation.
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