Integrations

Supercharge HTTP 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 HTTP 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 HTTP Tools they need

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

HTTP / Webhook - Send PUT Request
Sends HTTP PUT requests to a specified endpoint with customizable headers and authentication, allowing for data updates on remote servers
HTTP / Webhook - Send POST Request
Executes HTTP POST requests to create or submit new data to a specified endpoint, with support for custom headers and authentication
HTTP / Webhook - Send any HTTP Request
Provides flexibility to send any type of HTTP request with custom methods, headers, and authentication options
HTTP / Webhook - Send GET Request
Performs HTTP GET requests to retrieve data from specified endpoints, with options for response header inclusion and authentication
HTTP / Webhook - Validate Webhook Auth
Authenticates incoming webhook requests using various auth methods including Basic, Bearer, and Key-based authentication
HTTP / Webhook - Return HTTP Response
Generates customized HTTP responses with specified status codes, headers, and body content for webhook interactions
Name
HTTP / Webhook API Call
Description
Make an authorized request to a HTTP / Webhook API
Parameters
["HTTP Method (GET, POST, PUT, DELETE, PATCH)", "Relative Path", "Request Body", "Custom Headers", "OAuth Authorization"]
Use Case
A developer needs to integrate their application with a third-party REST API to fetch real-time data. Using the HTTP API Call integration, they can easily make authenticated requests to external endpoints while handling authorization and custom headers automatically.
Quick Start

Connect HTTP 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 HTTP/Webhook + Relevance AI integration without writing code:
  • Start with a clear configuration: Ensure your OAuth account credentials and base URL are correctly set up for seamless integration.
  • Utilize pre-built request templates: Leverage example requests for GET and POST methods to quickly understand how to interact with the API.
  • Handle webhooks securely: Set up proper authentication for incoming webhooks to protect your endpoints from unauthorized access.
  • Test your requests: Use test data to validate your HTTP requests and webhook responses before deploying to production.
  • Monitor for errors: Implement logging for request and response data to troubleshoot issues effectively and ensure smooth operation.