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Document-based age verification for online platforms and e-commerce. White-label, pay-per-use, under 30 seconds. No redirects, embedded flow. Native plugins and developer packages for quick integration.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Website, pricing, platforms and company facts side by side.
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| Website | proofage.xyz | diffyn.com |
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| Company | Startup from France · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.


Selling age-restricted products online means one thing: verify first, or risk fines, chargebacks, and platform bans. Most verification solutions are built for enterprise compliance teams — slow to integrate, expensive to run, and clunky for customers. ProofAge is built for the other 99%. What...
No description of Diffyn yet.
What each product offers, as listed by its team.


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The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
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As answered by people managing ProofAge and Diffyn.
ProofAge's answer
ProofAge delivers embedded, white-label ID age verification via API — document scan + face match + fraud detection, no redirects, no setup fees, pay only for completed verifications. Ready-made plugins for Shopify and WooCommerce mean most businesses are live in under 20 minutes.
Diffyn's answer:
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
ProofAge's answer
Most competitors force a choice: either expensive enterprise KYC ($1+/check, built for banks) or lightweight tools that skip the document check, face matching, or spoof detection. ProofAge hits the gap — full document-based age verification at $0.30/check, no contracts, white-label flow, and native plugins for Shopify and WooCommerce so you don't need a developer to integrate.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
ProofAge's answer
Laravel (REST API backend), Vue.js (white-label frontend flow), document OCR and data extraction, face embedding and matching, liveness detection, and fraud analysis — combined into a single verification pipeline.
Diffyn's answer:
React, Next.js, POSTGRESQL
ProofAge's answer
B2B developers and product teams across regulated and trust-sensitive industries:
Age-restricted e-commerce (tobacco, vape, alcohol) — legal age gate, liability protection, compliance with regional regulations
Online gambling — regulatory age compliance, fraud reduction, duplicate account prevention
Dating platforms — identity confidence, catfish prevention, detecting duplicate or fake registrations
Adult content platforms — age verification mandated by law in an increasing number of jurisdictions (UK, EU, US states)
Any online community that needs to verify user age or identity without building verification infrastructure themselves
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
ProofAge's answer
ProofAge started while building a client project that required user age verification due to new regulations. Every existing solution was either overkill — full KYC priced above $1/check — or incomplete: no document scan, no face matching, or spoof detection so basic that a photo of a photo passed. Rather than ship a half-measure, we built the verification layer we wished existed, and turned it into a product.
Diffyn's answer:
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
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