The CTO's Guide to API-First Identity Verification
Building vs. buying identity verification infrastructure is one of the most consequential technical decisions a growing company makes. Here is the framework for getting it right.
Evaluating identity verification providers? This comprehensive guide covers every criterion that matters — from technical capabilities to pricing models to vendor stability.
Selecting an identity verification provider is a high-stakes decision that affects conversion rates, fraud exposure, compliance posture, and engineering resources. This guide provides a framework for evaluating providers systematically.
Organize your evaluation across six dimensions, weighted by your business priorities:
Document verification:
Biometric matching:
Watchlist screening:
API design:
Performance:
Integration:
Compare pricing on a total cost basis:
| Cost Factor | Legacy Provider | Modern Provider |
|---|---|---|
| Per-verification fee | $3.50-5.00 | $0.50-1.50 |
| Integration cost | $50K-100K | $5K-15K |
| Annual maintenance | $25K+ | Included |
| Manual review ops | 3-5 FTEs | 0.5-1 FTE |
During the evaluation process, be alert for these warning signs:
After evaluating multiple providers, rank them against your weighted criteria and shortlist two or three for proof-of-concept integrations. A POC should take no more than one to two weeks with a well-designed API.
During the POC, measure:
The provider that performs best across your weighted criteria — not the one with the best sales pitch — is the right choice.
deepidv offers free POC integrations with no commitment, full API documentation from day one, and transparent pricing. We believe the best way to earn your business is to let the product speak for itself.
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Building vs. buying identity verification infrastructure is one of the most consequential technical decisions a growing company makes. Here is the framework for getting it right.
Monolithic KYC bundles force you to pay for checks you do not need. Modular identity verification lets you compose workflows that match your exact requirements — and nothing more.
AI can now generate near-perfect fake documents. But it can also detect them. This article explores how machine learning models identify forged and AI-generated identity documents at the pixel level.