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

Codeq is a Natural Language Processing API that offers powerful text analysis and comparison capabilities. With Relevance AI, you can leverage these capabilities to create dynamic workflows that intelligently analyze and interpret text data.

Give your AI Agents 0CodeKit Superpowers

Codeq provides advanced natural language processing capabilities for document analysis and text similarity. Relevance AI amplifies these features by enabling intelligent AI Agents to automate and optimize your text processing tasks.

Code Pattern Recognition Mastery

The agent gains advanced capabilities to identify and analyze complex code patterns across multiple programming languages.

Semantic Code Analysis

Provides deep understanding of code structure and meaning through advanced natural language processing capabilities.

Technical Debt Orchestration

Enables systematic identification and prioritization of code quality issues for strategic technical debt reduction.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with Codeq to enhance your text analysis 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.
Quick Start

Connect 0CodeKit to Relevance AI in minutes

Security & Reliability

The Codeq Natural Language Processing API integration utilizes a straightforward REST API interface, enabling developers to perform advanced text analysis and comparison tasks seamlessly. With robust document analysis capabilities and text similarity comparisons, this integration is perfect for applications that require a deep semantic understanding of text content.

Secure OAuth-based authentication ensures that only authorized workflows can access the Codeq API, while the integration handles API operations (like POST requests for document analysis and similarity checks) in the background—eliminating concerns about errors, formatting, or limits.

Built-in validation and comprehensive NLP pipeline options guarantee that your workflows run efficiently, even when dealing with varying data 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.

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.