DingConnect enables seamless international mobile top-up operations through a powerful API interface. With Relevance AI, you can enhance these operations by leveraging AI Agents to automate tasks and gain real-time insights.
DingConnect provides a robust API for managing international mobile recharges, while Relevance AI empowers you to automate and optimize these processes with intelligent AI Agents that can adapt and scale.
Global Transaction Orchestration
The AI agent gains instant access to process mobile top-ups across 500+ operators in 140+ countries with real-time execution.
Multi-Currency Intelligence
Seamlessly handles cross-border transactions with automated currency conversion and rate optimization.
Automated Service Optimization
Intelligently routes transactions and selects optimal service paths based on success rates and processing speeds.
Relevance AI integrates seamlessly with DingConnect to enhance your mobile top-up workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Ding Connect account
- A Relevance AI account with access to your projects and datasets
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The DingConnect integration with Relevance AI utilizes a powerful API interface to facilitate seamless international mobile top-up operations. This integration automates mobile recharges, checks balances, and estimates prices across a global network of providers, all while ensuring secure OAuth authentication for authorized access.
With real-time balance monitoring and dynamic pricing estimates, you can manage your mobile top-up operations efficiently. The integration handles API operations (like GET, POST, and more) in the background, allowing you to focus on your core business without worrying about errors or formatting issues.
Built-in validation and error handling ensure that your workflows run smoothly, even when faced with common issues such as authentication errors or rate limiting. By following best practices for response validation and logging, you can maintain a robust integration that meets your operational needs.
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.
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.
