Integrations

Supercharge Dropbox with Relevance AI

Dropbox is a cloud storage platform that allows users to store, share, and manage files online. With Relevance AI, you can leverage AI Agents to automate file operations and enhance your data workflows.

Give your AI Agents Dropbox Superpowers

Dropbox offers robust cloud storage and file management capabilities. Relevance AI enhances these features by enabling intelligent AI Agents to automate tasks and streamline processes.

Intelligent Document Orchestration

Seamlessly automates file organization, versioning, and distribution across teams and workflows

Content Intelligence Mastery

Analyzes and extracts valuable insights from documents while maintaining secure version control

Proactive Security Governance

Maintains data integrity through automated backup, recovery, and security protocol enforcement

Tools

Equip AI Agents with the Dropbox Tools they need

Relevance AI integrates seamlessly with Dropbox, enabling you to manage files effortlessly within your automated workflows.

List All Files/Subfolders in a Folder
Lists all files and subfolders within a specified Dropbox folder, with options to recursively traverse subfolders and include deleted or mounted items
Create Folder
Creates a new folder in the specified Dropbox location with options to handle naming conflicts through auto-renaming
Create Folder
Creates a new folder in the specified Dropbox location with options to handle naming conflicts through auto-renaming
Create or Append to a Text File
Creates a new text file or appends content to an existing text file in Dropbox, allowing specification of file name, location, and content
Download File to TMP
Downloads a specified file from Dropbox to a temporary location, with options to rename the downloaded file
Upload a File
Uploads a single file to Dropbox from either a URL or file path, with various options for handling conflicts and notifications
Upload Multiple Files
Batch uploads multiple files to Dropbox from URLs or file paths, with options for naming and conflict handling
Name
Dropbox API Call
Description
Make an authorized request to a Dropbox API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A digital marketing agency uses this integration to automatically sync campaign assets between their project management system and client-specific Dropbox folders, ensuring all team members have access to the latest versions while maintaining proper file organization and permissions.
Quick Start

Connect Dropbox to Relevance AI in minutes

Security & Reliability

The integration leverages OAuth2 authentication to securely connect your Dropbox account with Relevance AI, enabling automated file management and synchronization capabilities. Relevance AI handles all Dropbox API operations (including file uploads, downloads, sharing, and search) in the background—abstracting away complexity while ensuring data integrity and proper error handling.

Built-in retry logic and validation ensure reliable file operations, even when dealing with large files or intermittent connectivity.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Dropbox + Relevance AI integration without writing code:
  • Organize your Dropbox structure: Use clear folder names and maintain a consistent hierarchy for easier file management.
  • Utilize pre-built actions: Relevance AI provides ready-to-use workflows for listing, uploading, and sharing files—perfect for quick implementation.
  • Authenticate securely: Ensure you use the correct OAuth2 credentials and permissions during setup to avoid access issues.
  • Test with sample files: Conduct tests with non-critical files to validate your workflows before applying them to important data.
  • Monitor API usage: Be mindful of rate limits and implement batch processing to optimize performance and avoid throttling.