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

Trengo is a customer communication management platform that centralizes interactions across various channels. By integrating with Relevance AI, you can leverage advanced AI capabilities to automate and enhance your customer service workflows.

Give your AI Agents 0CodeKit Superpowers

Trengo streamlines customer interactions across multiple channels, while Relevance AI empowers these interactions with AI Agents that can analyze, respond, and optimize communication strategies.

Omnichannel Orchestration

AI agent seamlessly coordinates and manages conversations across multiple communication channels, ensuring consistent engagement and response patterns.

Real-time Triage Excellence

Agent instantly categorizes and prioritizes incoming messages, ensuring urgent matters receive immediate attention while maintaining efficient queue management.

Predictive Response Generation

Agent analyzes conversation context and customer history to generate personalized, context-aware responses across all channels.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI integrates with Trengo to enhance your customer communication workflows with intelligent automation.

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 Trengo and Relevance AI integration streamlines customer communication management through a unified API interface, allowing for automated workflows and organized contact management. This integration leverages secure OAuth authentication, ensuring that only authorized workflows can access your Trengo data.

Relevance AI handles API operations (like creating contacts, sending WhatsApp template messages, and searching for contacts) in the background—so you don’t have to worry about errors, formatting, or limits. Built-in validation ensures that phone numbers are correctly formatted for WhatsApp messages, and checks for existing contacts prevent duplication during creation.

With features like centralized communication management, automated messaging, and team collaboration tools, this integration enhances your customer service capabilities while maintaining a seamless experience across multiple channels.

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.