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 0CodeKit with Relevance AI

Productlane is a powerful integration platform that enables organizations to manage product feedback and customer engagement through a robust API. Enhance your feedback processes with Relevance AI's capabilities to automate and analyze customer insights effectively.

Give your AI Agents 0CodeKit Superpowers

Productlane streamlines product feedback management and customer engagement. With Relevance AI, you can leverage intelligent AI Agents to automate feedback analysis and drive actionable insights from user interactions.

Feedback Intelligence Mastery

Agent analyzes vast amounts of customer feedback to identify critical patterns and emerging trends in real-time

Cross-Channel Insight Synthesis

Agent unifies and analyzes feedback from multiple channels to create comprehensive understanding of customer needs

Strategic Resource Optimization

Agent intelligently allocates development resources based on customer impact and business value analysis

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI integrates seamlessly with Productlane to enhance your product feedback workflows.

0codekit - 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
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
0codekit - 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
0codekit API Call
Description
Make an authorized request to a 0codekit 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 0codekit 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 Productlane integration utilizes a robust API interface to streamline product feedback management and enhance customer engagement. With secure OAuth authentication, only authorized workflows can access your Productlane data, ensuring data integrity and security. Relevance AI manages API operations (like creating feedback, upvoting projects, and managing contacts) in the background, allowing you to focus on gathering insights without worrying about errors, formatting, or limits.

Automated feedback collection and customizable notification systems ensure that your organization can efficiently track customer engagement and feedback. Built-in validation and error handling mechanisms guarantee that your workflows run smoothly, even when data formats vary.

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 0CodeKit + Relevance AI integration without writing code:
  • Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
  • Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
  • Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
  • Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
  • Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.