Architecting Parallel Verification: A Decision Guide for Combo Check Integration

Architecting Parallel Verification: A Decision Guide for Combo Check Integration

# api# architecture# identity# webdev
Architecting Parallel Verification: A Decision Guide for Combo Check IntegrationeKYC Pro

When building onboarding flows, identity verification often requires checking a single user...

When building onboarding flows, identity verification often requires checking a single user identifier against multiple platforms. Whether you are validating a phone number against WhatsApp, Telegram, and VK, or checking email presence, the architectural choice between individual service calls and consolidated requests significantly impacts your application's state management.

The Integration Landscape

Developers typically face three paths for identity verification:

  1. Individual Service Calls (Per-call API): Best for granular control where each check is triggered by a specific user action or requires unique retry logic.
  2. Combo Check API: Ideal for consolidating multiple checks into a single synchronous request, reducing the number of round-trips between your server and the provider.
  3. Unified Score API: Useful when you need a single risk-based output (0–1000 PTS) rather than raw registration signals for every individual platform.

When to Use the Combo Check API

If your application requires simultaneous verification across a defined set of services, the POST /v1/check/combo/phone or POST /v1/check/combo/email endpoints are the most efficient architectural choice.

Key Advantages

  • Simplified State Management: Instead of tracking three or four independent HTTP promises, your backend manages a single response object.
  • Parallel Execution: The service runs checks in parallel, consolidating the results into one object keyed by service_type.
  • Flexible Configuration: You can define a default combo in your dashboard or override it per request using the service_types array, allowing for dynamic verification logic based on user tier or region.

Handling Partial Results

Integration design must account for the reality of distributed systems. In a Combo Check operation, individual services may occasionally return a timeout error while others complete successfully.

// Example of a partial success response structure
{
 "data": {
 "results": {
 "ws": { "registered": true },
 "vk": { "registered": null, "error": "timeout" }
 }
 }
}
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Because the API returns completed services even if others fail, your application logic should treat registered: null as an indeterminate state. You can then selectively retry only the failed service using the standard /v1/check endpoint, rather than re-running the entire combo.

Decision Checklist: Which approach fits your needs?

Requirement Recommended Approach
Need a single risk score Unified Score API
Need raw registration signals for multiple platforms Combo Check API
Need to isolate specific service retry logic Per-call API
Need the lowest possible number of outbound requests Combo Check API

Conclusion

For most onboarding workflows, the Combo Check approach provides the cleanest balance between simplicity and control. By moving to a consolidated request model, you reduce the complexity of your integration layer while maintaining the ability to handle individual service failures gracefully.

Always ensure your client-side timeout is configured to accommodate the expected response window (at least 15s) to properly handle the parallel processing nature of these requests. For more details on implementation, refer to the official documentation.

This article was drafted with AI assistance and reviewed before publishing.