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

The HTTP/Webhook integration offers a flexible solution for making authorized HTTP requests and managing webhook events through a unified API. With Relevance AI, you can elevate this integration by leveraging AI Agents to automate responses and optimize workflows.

Give your AI Agents 0CodeKit Superpowers

The HTTP/Webhook integration provides a robust API interface for making authorized requests and handling events. Relevance AI amplifies this capability by enabling intelligent AI Agents to respond and act on incoming data in real-time.

Universal Protocol Mastery

Seamlessly handles any HTTP method, header, or authentication type across diverse web services and APIs

Intelligent Error Recovery

Automatically detects failed requests and implements smart retry strategies with adaptive error handling

Automated Authentication Flow

Manages complex OAuth processes and token refreshes without manual intervention across multiple services

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI enables seamless integration with HTTP/Webhook, allowing you to enhance your workflows with dynamic data interactions.

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.
Quick Start

Connect 0CodeKit to Relevance AI in minutes

Security & Reliability

The HTTP/Webhook integration utilizes secure OAuth authentication, ensuring that only authorized workflows can access your API data. Relevance AI manages API operations (such as GET, POST, PUT, DELETE, PATCH) seamlessly, allowing you to focus on your application without worrying about errors, formatting, or limitations.

With built-in standardized error handling and authorization management, this integration simplifies the process of making HTTP requests and handling incoming webhooks. Additionally, it supports JSON payloads and provides customizable HTTP responses, ensuring your workflows run efficiently 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.