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 DingConnect + Relevance AI integration without writing code:
- Start with a valid DingConnect account: Ensure you have active API credentials and approved production access.
- Use the API documentation: Familiarize yourself with the available endpoints and their expected responses for efficient integration.
- Connect securely: Implement OAuth 2.0 for secure authentication and ensure proper permission levels are set.
- Test API calls: Use test data to validate your API calls before deploying them in a production environment.
- Monitor your usage: Keep an eye on API rate limits and implement error handling to manage throttling effectively.
