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Integrations

Supercharge Feedier with Relevance AI

Feedier is a customer feedback management platform that helps businesses collect, analyze and act on customer insights.

Enhance your feedback processes with AI agents that can automatically analyze sentiment, respond to customers, and turn feedback into actionable intelligence.

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Give your AI Agents Feedier Superpowers

Feedier excels at gathering and organizing customer feedback data. Relevance AI transforms this feedback into intelligent action through AI agents that can analyze sentiment, automate responses, and drive continuous improvement.

Instant Feedback Analysis

The agent rapidly analyzes customer feedback to identify trends and sentiments.

Automated Response Generation

The agent crafts personalized responses to customer feedback in real-time.

Continuous Improvement Loop

Facilitates an ongoing cycle of feedback collection and product enhancement.

Tools

Equip AI Agents with the Feedier Tools they need

Relevance AI gives you access to Feedier's feedback management capabilities within your automated workflows and AI agents.

Pre-Built Feedier Tool Steps
Feedier API Tool Steps
feedier - 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
feedier - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
feedier - 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
feedier API Call
Description
Make an authorized request to a feedier 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 feedier 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.
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Quick Start

Connect Feedier to Relevance AI in minutes

What you’ll need

You don't need to be a developer to set up this integration. Follow this simple guide to get started:

  • A Relevance AI account
  • An Airtable account with access to the base and table you'd like to use
  • Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
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STEP 1

Open Relevance AI

Go to "Integrations" and connect Feedier to enable feedback management capabilities within your Relevance AI workspace.

STEP 2

Connect Your Feedier Account

A secure pop-up will ask you to log in to Feedier. This authorizes Relevance AI to access your feedback forms, surveys, and response data while maintaining secure OAuth authentication.

STEP 3

Create a new tool

From the home page go to create a new tool. You can either use the Invent function or build from scratch.

STEP 4

Add Feedier as a Step

Choose Feedier from the list of tools, then select what action you want to perform—like creating feedback forms, managing responses, or analyzing survey data through the Feedier API.

Security & Reliability

The integration leverages secure OAuth authentication to safely access your Feedier feedback data. Relevance AI manages API operations seamlessly in the background, handling request methods and data formatting automatically.

Built-in validation ensures your feedback collection and analysis workflows operate reliably across different response formats.

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.

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Get Started

Best Practices for Non-Technical Users

Build your own Relevance AI Integration

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To get the most out of the Feedier + Relevance AI integration without writing code:
  • Organize your feedback forms: Structure your Feedier surveys with clear question hierarchies and consistent response formats.
  • Use authentication properly: Ensure OAuth credentials are correctly configured and permissions are appropriately set.
  • Follow API best practices: Implement proper error handling and respect rate limits when making API calls.
  • Validate responses: Test your feedback collection setup with sample data before full deployment.
  • Monitor integrations: Regularly check API response status codes and maintain proper webhook configurations.

Free your team.
Build your first AI agent today!

If you're exploring Relevance AI for the first time or discovering new features, we'll quickly guide you to start doing great work immediately.

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