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Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge 0CodeKit with Relevance AI

Tookan is a delivery management platform that facilitates the seamless management of field workforce operations through automated task handling and real-time tracking. With Relevance AI, you can elevate your task management capabilities by leveraging AI Agents for smarter, data-driven decisions.

Give your AI Agents 0CodeKit Superpowers

Tookan offers a comprehensive delivery management platform that allows for efficient task creation and tracking. Relevance AI enhances this by enabling intelligent AI Agents to optimize task management and decision-making processes.

Real-Time Orchestration Mastery

The AI agent gains the ability to dynamically optimize and coordinate multiple delivery operations simultaneously with precision timing.

Predictive Fleet Intelligence

Enhanced capability to forecast delivery patterns and optimize resource allocation before bottlenecks occur.

Dynamic Resource Optimization

Continuous adaptation and reallocation of delivery resources based on real-time demand and conditions.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI integrates with Tookan to streamline your field workforce operations within automated 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

This integration enables seamless management of field workforce operations through Tookan's delivery management platform, utilizing secure OAuth authentication to ensure that only authorized workflows access your Tookan data. Relevance AI handles API operations (like creating, updating, and managing tasks) in the background—so you don’t have to worry about errors, formatting, or limits.

With built-in validation and type conversion, your workflows run smoothly, even when data formats vary. The integration allows you to programmatically create and manage various types of tasks (pickup, delivery, appointments) while leveraging Tookan's robust tracking and management capabilities.

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.