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

Gryd is an integration platform that offers real-time access to vehicle data through a robust API suite. By combining Gryd with Relevance AI, you can build powerful applications that utilize vehicle information for enhanced analytics and operational efficiency.

Give your AI Agents 0CodeKit Superpowers

Gryd provides instant access to comprehensive vehicle information, while Relevance AI empowers you to leverage that data with intelligent AI Agents for smarter decision-making and automation.

Seamless Vehicle Data Orchestration

Enables AI agents to instantly access and process comprehensive vehicle information across multiple regulatory databases.

Real-time Compliance Intelligence

Empowers agents to make instant decisions based on live ULEZ and MOT compliance data from authoritative sources.

Predictive Fleet Intelligence

Enables agents to anticipate vehicle maintenance needs and compliance issues before they become problems.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI integrates seamlessly with Gryd to enhance your workflows with real-time vehicle data insights.

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 Gryd integration platform provides secure OAuth-based authentication, ensuring that only authorized applications can access real-time vehicle data. With Relevance AI, API operations such as fetching DVLA, MOT, and ULEZ information are handled seamlessly in the background, allowing developers to focus on building robust vehicle-data-driven applications without worrying about errors or data formatting.

Built-in validation ensures that vehicle registration marks (VRM) are correctly formatted, while comprehensive error handling and caching mechanisms enhance performance and reliability, even under high load conditions.

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.