When building registration flows that require identity verification, developers often fall into the trap of hardcoding service availability. Hardcoding assumptions about which platforms are currently checkable—such as WhatsApp, Facebook, or Netflix—leads to brittle integrations that break when provider status changes. Instead, you should architect your frontend and backend to dynamically query the available services.
The Problem with Static Configuration
If your UI displays a list of verification options that you manually maintain, you risk showing options that are temporarily unavailable. This creates a poor user experience where a user selects a verification method, only to receive a failure message after submission. A more robust approach treats service availability as a dynamic state rather than a constant.
Architecting for Dynamic Discovery
By integrating the GET https://api.ekycpro.com/v1/services endpoint, your application can fetch the current state of supported check types in real-time. This allows your system to normalize the available options before rendering a form or deciding which API call to trigger.
Implementation Strategy
- Fetch and Cache: On application startup or periodically, query the services list.
-
Filter by Data Type: Use the
data_typefield (phone or email) to match the user's input against the services that actually support that identifier. -
Check Availability: Only present services where the
enabledboolean istrue.
Conceptual Integration Logic
// Conceptual: Fetching and filtering services
async function getAvailableServices(inputType) {
const response = await fetch('https://api.ekycpro.com/v1/services');
const data = await response.json();
if (data.success) {
return data.services.filter(s => s.data_type === inputType && s.enabled === true);
}
return [];
}
Managing API Constraints
When implementing this dynamic discovery, keep in mind that the API has rate limits that restrict requests per minute and that concurrency is also limited. Always refer to the current API documentation for applicable limits. Avoid aggressive polling; instead, use a strategy that refreshes the service list at a reasonable interval or upon specific application events.
Best Practices for Data Modeling
When you receive the services array, map these values to your internal UI components. This ensures that your "adapter layer" is decoupled from the API's internal structure. If a service is disabled, your UI can gracefully hide the option or provide a fallback, rather than failing during the verification request.
Conclusion
By moving away from hardcoded configurations and toward a dynamic discovery model, you create a more resilient verification workflow. This ensures that your application remains in sync with the actual availability of checkable services, providing a smoother experience for your users and reducing the maintenance burden on your engineering team.
This article was drafted with AI assistance and reviewed before publishing.
