Verify vehicle registration certificates in real time via VAHAN. Get owner name, registration date, insurance status, vehicle class, and RTO details.
A VAHAN-integrated API that validates vehicle registration details in real time, crucial for insurance, lending, fleet, and logistics onboarding.
Owner name, vehicle class, fuel type, chassis, and engine numbers.
Verify insurance validity, expiry date, and insurer details.
Detect blacklisted, stolen, or hypothecated vehicles during onboarding.
Catch fake RC data, mismatched chassis numbers, and forged documents.
Real-time verification, perfect for mobile onboarding flows.
Verify fleet vehicles, delivery bikes, and commercial trucks at scale.
Every verification is logged with timestamp and consent for compliance.
From sandbox to production in under 24 hours — no paperwork, no waiting.
Free sandbox access in under a minute.
POST the registration number. Get full RC profile instantly.
Production within 24 hours.
Get your sandbox credentials in seconds. Talk to our team to go live in production within 24 hours.
CGPEY provides a developer-focused rc verification api solution for businesses that need dependable digital workflows, structured results, and a smoother integration experience. The API is designed to help teams connect verification and business checks with existing applications while keeping the user journey simple.
With secure API connectivity, clear response data, and automation where applicable, teams can reduce repetitive manual work and build consistent onboarding, compliance, risk, or operational workflows. This makes CGPEY APIs useful for fintech platforms, digital businesses, marketplaces, and other organisations that need scalable verification infrastructure.
Explore the capabilities, integration steps, supported use cases, and frequently asked questions on this page to understand how the service can fit into your technology stack.
For teams building intelligent digital operations, AI-assisted automation can complement what is rc verification? workflows by helping organise verification signals, prioritise exceptions, surface patterns, and reduce repetitive review. Used with appropriate human oversight, consent, and business rules, AI can make API-driven processes more efficient while keeping important decisions transparent and controllable.