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

Defastra is a powerful tool for fraud detection and risk analysis, offering deep verification of emails and phone numbers. With Relevance AI, you can leverage this data to create smarter, more responsive AI Agents that enhance your decision-making processes.

Give your AI Agents 0CodeKit Superpowers

Defastra provides robust fraud detection and risk analysis through deep email and phone verification. Relevance AI amplifies these capabilities by enabling intelligent AI Agents to analyze and act on the enriched data effectively.

Real-Time Risk Intelligence

Empowers AI agents with instant fraud detection capabilities and risk assessment insights across multiple digital channels.

Identity Verification Mastery

Enhances agent capabilities with advanced document verification and biometric matching for seamless identity confirmation.

Adaptive Risk Scoring

Grants agents the ability to dynamically adjust risk assessments based on real-time transaction patterns and user behavior.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with Defastra to enhance your fraud detection 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 integration between Defastra and Relevance AI leverages secure OAuth authentication, ensuring that only authorized workflows can access your fraud detection and risk analysis capabilities. Relevance AI manages API operations (like POST requests for deep email and phone checks) seamlessly in the background, allowing you to focus on identifying potential fraud patterns without worrying about errors, formatting, or limits.

With built-in validation and type conversion, your workflows will run smoothly, even when dealing with varying data formats. This integration provides comprehensive fraud detection, scalable data enrichment, and flexible timeout controls to balance detail and speed, all while keeping your data organized with custom labels.

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.