Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge Grade Us with Relevance AI

Grade Us is a comprehensive online reputation management platform that helps businesses collect and leverage customer feedback to enhance their brand presence.

Combine review management with AI Agents to automate personalized responses and extract actionable insights from customer sentiment.

Give your AI Agents Grade Us Superpowers

Grade Us excels at gathering and managing customer feedback across platforms. Relevance AI transforms this feedback into intelligent action through AI Agents that can analyze sentiment, respond to reviews, and drive reputation improvements at scale.

Dynamic Feedback Personalization

The agent tailors communication based on real-time customer data for enhanced engagement.

Proactive Reputation Management

Instantly responds to reviews, mitigating negative feedback and fostering positive relationships.

Enhanced Customer Experience

Delivers personalized responses and support, improving overall customer satisfaction.

Tools

Equip AI Agents with the Grade Us Tools they need

Relevance AI gives you access to Grade Us's review management capabilities within your AI-powered workflows.

grade-us - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
grade-us - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
grade-us - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
grade-us API Call
Description
Make an authorized request to a grade-us API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses grade-us API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Grade.us data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about authentication tokens, request formatting, or rate limits.

Built-in validation and error handling ensure your review management workflows run smoothly, even when dealing with different review platforms and data structures.

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 Grade.us + Relevance AI integration without writing code:
  • Configure OAuth properly: Ensure correct Grade.us account authorization and permission settings.
  • Structure API requests: Use appropriate HTTP methods and clear relative paths for endpoints.
  • Manage headers efficiently: Set necessary custom headers while respecting authorization constraints.
  • Handle responses carefully: Monitor response status codes and body content for successful integration.
  • Implement error handling: Set up proper error catching for failed API calls and authentication issues.