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

Hansei is an integration platform that facilitates AI-powered data interactions through a robust API system. By incorporating Relevance AI, you can elevate your data analysis and conversational capabilities, making your applications smarter and more responsive.

Give your AI Agents 0CodeKit Superpowers

Hansei empowers developers to create intelligent conversational interfaces and manage data collections effortlessly. With Relevance AI, these capabilities are amplified, enabling AI Agents to analyze and act on data in real-time.

Decision Transparency Mastery

Empowers agents with detailed insights into their decision-making process, ensuring clear understanding of every recommendation.

Regulatory Compliance Shield

Automatically validates agent actions against compliance frameworks, maintaining adherence to industry regulations and standards.

Audit Trail Automation

Creates comprehensive documentation of agent decisions and actions for complete operational transparency.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with Hansei to enhance your AI-driven data interactions within 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 Hansei integration platform utilizes secure OAuth authentication, ensuring that only authorized applications can access your AI-powered data interactions. This integration allows developers to seamlessly manage and interact with AI assistants and data collections through a robust RESTful API, simplifying the creation of intelligent conversational interfaces and data analysis tools.

With built-in validation and flexible bot management capabilities, the Hansei integration ensures that your workflows run efficiently, even when dealing with varying data formats. The platform supports various API operations (GET, POST, PUT, DELETE, PATCH), allowing for comprehensive data manipulation without the hassle of manual error handling or formatting issues.

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.