Scan Dropbox Resumes for Fraud
Scan Dropbox Resumes for Fraud
Apps used in template
About
This template scans a specific resume file stored in Dropbox using Verify (TailLR Made) to detect potential fraud, inconsistencies, and risk signals such as timeline gaps, unverifiable employers, or tech time travel.
The scenario downloads a selected file from Dropbox, prepares the resume content for analysis, sends it to Verify, and uploads the resulting report back to Dropbox.
This template is designed to be used as a standalone check or embedded into a larger automation, such as a recruiting intake workflow, candidate screening pipeline, or compliance review process.
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Analyzes a resume to detect red flags with the Verify API and returns the risk level, text summary, and HTML report.
Generates bundles with their own structure.
Composes a string for easier mapping of scenarios.
Converts a text from one codepage to another.
Copies a file or folder to a different location in the user's Dropbox. If the source path is a folder all its contents will be copied.
Creates a file request.
Creates a new folder.
Creates a new text file(.doc) or overwrite an existing text file(.doc) with the provided content as plain text.
Creates or Updates a public share link to the file or folder (It allows to share the file or folder with anyone).
FAQ
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A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.
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