Cr3dentials Litepaper

1. The World's Workforce Has Outgrown Its Verification Layer

Work has changed. The way lenders verify it has not.

Roughly half of American workers now earn variable, non-traditional income: gig workers, freelancers, creators, e-commerce merchants, and platform-native earners. The U.S. Bureau of Labor Statistics estimates 78 million Americans earned outside conventional W-2 systems in 2024. Globally the figure is far larger. The World Bank estimates 435 million people earn through online gig work alone, with billions more participating in informal and platform-based economies the formal financial system cannot see.

Earnings flow through Shopify, Uber, Upwork, YouTube, Stripe, TikTok Shop, Patreon, Mercado Libre, Bolt, DoorDash, Etsy, Amazon, Deel, Shopee, and hundreds of other platforms. These platforms collectively pay out more than a trillion dollars per year to their users. YouTube alone paid creators $32 billion in 2024 and $70 billion cumulatively from 2022 through 2024. Shopify merchants generated $292 billion in GMV in 2024. Uber drivers earned an estimated $118 billion globally on $162 billion of Gross Bookings. Stripe processed $1.4 trillion in payment volume in 2024.

This earnings layer is real, growing, and almost entirely invisible to the underwriting infrastructure built for salary-and-paystub workers. The Federal Reserve Bank of New York estimates 45 million U.S. adults are credit-invisible to traditional credit bureaus despite earning real income. Globally, 1.3 billion adults remain unbanked.

The opportunity is the ability to approve them on the basis of data their platforms already hold and can prove.

2. Why Existing Solutions Fall Short

Three approaches dominate income and revenue verification today. Each leaves most of the earner population uncovered.

Bank-data aggregators (Plaid, Yodlee, MX). Bank data captures cash flow but loses the underlying merchant detail that matters: order count, average order value, refund rate, gross versus net revenue, customer acquisition trends, and the hour-by-hour activity that separates a healthy business from a fragile one. Plaid's own engineering team has acknowledged that bank statement data is downstream and aggregated, making it a weaker signal than platform-native data for underwriting platform-based earners.

API-partnered aggregators (Argyle, Atomic, Pinwheel). These providers verify earnings by integrating directly with payroll systems and platforms. The model works where API partnerships exist. It does not scale to the long tail. New platforms require new partnerships. Coverage stops at whatever the aggregator has had time to negotiate. Kasi Money, a Cr3dentials customer underwriting drivers in South Africa, spent nearly a year securing a direct partnership with Bolt to verify driver income, the kind of multi-quarter integration cycle that does not work for fast-growing earner categories.

Document collection and manual review. Pay stubs, screenshots, and PDFs are slow, vulnerable to fraud, and exclude anyone whose income flows through platforms that do not generate them. Document fraud is increasingly easy with generative AI. Manual review is expensive and inconsistent.

Open banking, where it exists. Open banking is mature in some markets and nonexistent in most. Even in mature markets, it captures only cash flow, not the merchant-level activity that underpins it.

The structural gap is the same in every case: verification depends on someone else's infrastructure being in place. If a platform does not expose an API, does not have an open banking equivalent, or has not been integrated by an aggregator, the income earned on that platform cannot be verified at scale.

3. Our Approach: zkTLS Verification

Cr3dentials verifies income, identity, assets, and platform activity directly from authenticated web sessions, without requiring API partnerships or platform consent. Our infrastructure uses zero-knowledge TLS (zkTLS) to produce cryptographic proofs that the data presented is verifiably from the source platform, tamper-proof, and verifiable by any third party.

In practice this means: if a platform is accessible over the web, Cr3dentials can verify earnings, balances, transaction history, or any other on-platform data shown to the authenticated user. Shopify revenue, Uber earnings, YouTube payouts, Stripe payment volume, Upwork freelance income, and any other web-accessible platform are all in scope. No bilateral integration with the platform is required. The user authenticates, the verification engine reads what they would read, and a cryptographic proof of that data is produced.

The system operates in two architectural modes matched to how lenders consume verifications: an offchain mode for traditional lenders who need to see specific data fields to underwrite, and an onchain mode for protocols that compose around cryptographic predicates. Both modes rest on the same source-authenticity foundation.

TLS session attestation: the shared foundation

TLS is the protocol underpinning all secure web traffic. Cr3dentials produces an attestation that a specific TLS session occurred with a specific server, that the encrypted response contained specific data, and that no party tampered with it. This is the cryptographic foundation that proves data came from Shopify's servers, Uber's servers, or whatever source platform is being verified, rather than from a forged page or a fabricated document. Both architectural modes inherit this guarantee.

Offchain mode: TEE-isolated verification with selective disclosure

For lenders running traditional underwriting workflows, Cr3dentials operates an iframe-based verification flow hosted inside a trusted execution environment (TEE). The user authenticates to the source platform through the iframe. The TEE reads the authenticated session in isolation from Cr3dentials' infrastructure, applies zkTLS attestation to prove source authenticity, and produces a verified data object scoped to the fields the lender requested and the user consented to share.

Three properties matter here:

Cr3dentials sees nothing and stores nothing. All session-level activity happens inside the TEE. Cr3dentials' operators, infrastructure, and databases never have access to the raw account data. The TEE produces only the disclosed fields and discards everything else.

Selective disclosure is lender-scoped and user-consented. The lender defines the verification scope at session start (for example: 12 months of monthly revenue, current asset balance, transaction count, account age). The user reviews the requested scope and explicitly consents before authenticating. The TEE enforces the scope. Anything outside the agreed disclosure is never produced.

Source authenticity is cryptographic, not procedural. The zkTLS attestation lets the lender verify that the disclosed data is genuinely from the source platform, in the original session, untampered. This is structurally stronger than user-supplied documents (which can be forged), bank statement scraping (which loses source detail), or API-partnered aggregation (which depends on bilateral platform integration). Lenders get the underwriting fields they need, sourced cryptographically.

This offchain mode is the dominant deployment today. It meets traditional lenders where they are: they receive the data their existing risk models require, with substantially stronger privacy and source-authenticity guarantees than current alternatives.

Onchain mode: zero-knowledge predicate attestations

For onchain credit protocols that can compose around cryptographic predicates rather than raw data, Cr3dentials operates a second mode. Rather than disclosing data fields, the verification engine produces zero-knowledge proofs of predicates: "monthly revenue exceeds $X," "active for more than Y months," "refund rate below Z percent." These proofs are posted as verifiable credentials on the Ethereum Attestation Service on Base.

In this mode, no raw data is disclosed at any layer. The lender (or the onchain protocol) learns only that the predicate is true. The underlying data never leaves the verification session. This is fully privacy-preserving and composable with stablecoin lending markets, undercollateralized credit primitives, and DeFi-native financial products.

Two distinct attestation schemas support this: durable user credential attestations for ongoing credit relationships, and transaction attestations for one-shot verification events such as proof-of-payment in P2P settlement flows.

Refresh-token recurring verification

For platforms that support refresh tokens, Cr3dentials can re-verify on a recurring cadence using the user's authorized refresh credentials. A lender underwriting an ongoing credit facility (revenue-based financing, inventory finance, or working capital lines) can subscribe to monthly or weekly re-verifications without requiring the borrower to re-authenticate each time. This converts verification from a one-shot underwriting event into an ongoing data feed, which is structurally required for credit products that monitor borrower performance over the life of a loan.

Recurring verification works in both architectural modes. Offchain, it produces updated disclosed fields on the lender's defined cadence. Onchain, it refreshes the attested predicate on each verification.

4. What This Enables

For lenders. Approve borrowers traditional models cannot see. Underwrite working capital, revenue-based financing, and inventory finance based on real-time platform data. Reduce document fraud by sourcing verification at origin rather than from user-supplied PDFs. Build ongoing credit relationships through recurring re-verification rather than one-time snapshots. Research from FinRegLab found that cash-flow data added meaningful predictive lift over traditional credit scores across multiple lender portfolios, particularly for thin-file applicants. The 2023 U.S. Joint Regulator Statement on alternative data signaled regulatory support for cash-flow-based underwriting, accelerating lender adoption.

For platform-native earners. Prove income, assets, or activity from any platform without exposing the underlying account. Lender-scoped, user-consented selective disclosure means the lender sees only the fields needed for the specific underwriting decision, and Cr3dentials' TEE-isolated architecture means Cr3dentials itself sees nothing. Access credit products designed for platform-based work rather than being forced into the salary-worker framework that does not fit.

For onchain credit protocols. Bridge real offchain earnings to onchain credit markets. Make verifiable income, revenue, and activity composable with stablecoin lending, undercollateralized credit primitives, and DeFi-native financial products. Move beyond purely collateralized lending toward credit underwriting based on cryptographically verifiable real-world data.

For cross-border financial flows. Verify counterparty identity, transaction completion, and asset ownership in OTC and P2P payment channels. Reduce settlement risk in stablecoin off-ramps and on-ramps. Provide cryptographic proof of payment for transactions that today depend on screenshots and chat logs.

5. Use Cases We Serve Today

SMB and private credit lending. Droplinked, a Cr3dentials partner, runs an onchain lending marketplace for Shopify, Stripe, and TikTok Shop merchants. Cr3dentials verifies merchant revenue at origination and on a recurring refresh-token cadence, giving lenders ongoing visibility into the merchants they fund. Loan sizes range from $50,000 at the small end up to roughly $10 million for private credit deals to established merchants, spanning the full range from platform-programmatic working capital (Shopify Capital funds loans from $200 to $1,000,000; Square Loans up to $350,000; PayPal Working Capital up to $300,000) into mid-market private credit.

Consumer credit for platform-native workers. Kasi Money underwrites gig workers in South Africa using Cr3dentials verifications for Uber-based driver income. Globally, Uber, DoorDash, Bolt, and similar platforms collectively paid out hundreds of billions of dollars to drivers and couriers in 2024. Most of these workers are credit-invisible despite earning real income. Cr3dentials enables lenders to underwrite this population on the basis of platform-verified earnings rather than the credit history they lack, opening consumer credit products designed for variable, platform-based income.

Creator economy financing. Creators run revenue streams that look more like small businesses than traditional employment. YouTube paid creators $32 billion in 2024. Patreon paid out $2 billion to creators in the same period. A category of creator-specific lenders has emerged to underwrite these earnings: Karat Financial has issued $1.5 billion in credit to YouTubers, TikTokers, and streamers underwritten on social and revenue data rather than FICO scores; Spotter has paid out over $1 billion to YouTube creators in exchange for back catalog rights; Jellysmack and Creative Juice provide capital and content financing against creator earnings. These lenders need verifiable, ongoing proof of creator revenue. Cr3dentials provides it directly from YouTube, Patreon, Twitch, Substack, and other creator platforms, enabling revenue-based advances, audience-collateralized financing, and creator-specific lines of credit.

Cross-border and stablecoin payments. Africa receives roughly $100 billion in formal remittances annually, with intra-Africa flows alone reaching about $20 billion in 2022. The informal remittance market is estimated at 35 to 75 percent of formal channels in Sub-Saharan Africa. These flows are largely opaque to verification today. Cr3dentials provides cryptographic proof of payment, counterparty identity, and transaction completion in P2P, OTC, and stablecoin-based settlement channels. Paycrest uses Cr3dentials to verify counterparty transactions for stablecoin off-ramps in West Africa.

6. Global Markets

The earner populations Cr3dentials verifies are concentrated in four regions where platform-based work has scaled fastest.

United States. 78 million Americans earned variable, non-W-2 income in 2024 (BLS). The Federal Reserve Bank of New York estimates 45 million adults are credit-invisible to traditional bureaus. US digital lending was estimated at $511 billion in 2024 (Mordor Intelligence), with cash-flow underwriting recognized in the 2023 Joint Regulator Statement as a permissible and increasingly standard alternative-data approach.

Brazil. Payoneer's 2024 Top 10 Freelancing Countries report ranks Brazil among the world's largest freelance economies, with 25 million-plus self-employed workers. Latin American fintech lending grew an estimated 50 percent annually through the mid-2020s (McKinsey).

Nigeria, South Africa, and Sub-Saharan Africa. The World Bank Global Findex 2021 reported that roughly half of adults in Sub-Saharan Africa remained outside the formal banking system, with mobile money serving as the primary financial access point for most. By 2024, mobile money account ownership in the region reached 40 percent of adults (World Bank Global Findex 2025). Brookings has separately documented the rapid expansion of platform-based work in African economies.

The Philippines and Southeast Asia. Shopee, a Sea Limited subsidiary, reported $127.4 billion in GMV across 400 million buyers and 20 million sellers in 2025 (Sea Limited FY2025 earnings). TikTok Shop reached an estimated $33 billion in GMV in 2024, with the Philippines, Indonesia, and Thailand among the fastest-growing markets (Momentum Works).

Each of these regions presents the same structural pattern: large populations earning on platforms, weak coverage from traditional verification infrastructure, and rapidly growing lender demand for the kind of source-verified data Cr3dentials produces.

7. The Cr3dentials Stack

Verification engine. zkTLS-based session attestation for any web-accessible platform. No API partnerships required. Currently piloted on Shopify and Uber, with active expansion to Stripe, Upwork, YouTube, TikTok Shop, DoorDash, Bolt, Deel, Patreon, and others.

Attestation infrastructure. Verifiable credentials anchored on Ethereum Attestation Service on Base. Two schema types: durable user credential attestations for ongoing credit relationships, and transaction attestations for one-shot verification events.

Refresh-token recurring verification. Continuous re-verification on user-authorized refresh tokens. Designed for ongoing credit products where lenders need recurring visibility into borrower performance.

Privacy by design. TEE-isolated verification means Cr3dentials sees nothing and stores nothing. Lender-scoped, user-consented selective disclosure offchain. Zero-knowledge predicate attestations onchain. Verification sessions are ephemeral; raw account data is never persisted.

Access channels. REST API for programmatic integration. Dashboard for manual review workflows. Both available on every pricing tier.

No bilateral platform integration required. Cr3dentials does not depend on platform consent, API access, or institutional partnerships. The cryptographic protocol allows verification of any web-accessible authenticated session.

8. Why Now

Several independent trends are converging on the verification infrastructure Cr3dentials provides.

Cash-flow underwriting is becoming regulator-endorsed. The 2023 U.S. Joint Regulator Statement on alternative data validated cash-flow-based credit decisioning as a permitted and increasingly standard practice for lenders. FinRegLab's research has documented meaningful predictive lift from cash-flow signals over traditional credit scores, particularly for thin-file applicants.

Revenue-based financing and inventory finance are scaling rapidly. Pipe, Capchase, Wayflyer, Clearco, and Droplinked are building credit products that structurally require ongoing data verification rather than one-shot underwriting. Refresh-token recurring verification is not a future feature for these lenders. It is the product.

The creator economy is now too large to ignore. Goldman Sachs estimates the creator economy will grow from approximately $250 billion in 2023 to $480 billion by 2027. YouTube alone paid $32 billion to creators in 2024 (KPMG, citing YouTube disclosures). Patreon paid $2 billion. These earners need credit products that recognize their actual income, not the W-2 they do not have.

Stablecoin and onchain credit infrastructure is maturing. Regulatory clarity from the GENIUS Act and CLARITY Act has unlocked institutional engagement with stablecoin and onchain credit products. Onchain credit protocols increasingly need verifiable proof of offchain earnings to underwrite real businesses and real workers. Cr3dentials' attestation infrastructure on Ethereum Attestation Service makes this composable.

Existing verification infrastructure is hitting structural limits. Plaid, Argyle, Atomic, and similar API-partnered aggregators face a coverage ceiling: every new platform requires a new partnership, and new platforms emerge faster than partnerships can be negotiated. zkTLS verification scales without bilateral integration. The economics favor cryptographic verification at scale.

10. What We Are Building

Cr3dentials is the verification layer for the parts of the global economy that traditional financial infrastructure cannot see. The product is built on cryptographic primitives that do not require platform consent, designed to serve both fiat lending rails and onchain credit protocols. Customers use it today to underwrite SMB merchants in the United States, gig workers in South Africa, freelancers in the Philippines, and stablecoin counterparties across emerging markets.

The earner populations the global economy depends on are growing faster than the verification infrastructure built to underwrite them. Closing that gap is the work.

Footnotes and Sources

Workforce and financial inclusion

• U.S. Bureau of Labor Statistics — Contingent and Alternative Employment Arrangements (2024).
• World Bank — Working Without Borders: The Promise and Peril of Online Gig Work (2023).
• World Bank — Global Findex Database 2021 and Global Findex Database 2025.
• Federal Reserve Bank of New York — research on credit-invisible U.S. adults.
• African Development Bank — estimates of informal cross-border remittance volume in Sub-Saharan Africa.

Platform earnings and GMV

• YouTube — creator payout disclosures, 2022–2024 (cited via KPMG creator economy report).
• Shopify — FY2024 GMV disclosures.
• Uber — FY2024 Gross Bookings and earnings disclosures.
• Stripe — 2024 payment volume disclosures.
• Patreon — 2024 creator payout disclosures.
• Sea Limited — FY2025 Earnings Release (Shopee GMV, buyer and seller counts).
• Momentum Works — TikTok Shop GMV report, 2024.

Verification, underwriting, and credit research

• Plaid Engineering — public commentary on the limits of bank-statement data versus platform-native data.
• FinRegLab — The Use of Cash-Flow Data in Underwriting Credit (multi-lender study).
• U.S. Federal Banking Agencies — 2023 Interagency Statement on the Use of Alternative Data in Credit Underwriting.
• Mordor Intelligence — United States Digital Lending Market Report (2024).
• Payoneer — 2024 Top 10 Freelancing Countries Report.
• McKinsey & Company — research on Latin American fintech lending growth.
• Brookings Institution — research on platform-based work in African economies.
• Goldman Sachs Research — The Creator Economy Could Reach $480 Billion by 2027 (2023).

Product and policy references

• Shopify Capital, Square Loans, and PayPal Working Capital — published product terms used as SMB working-capital benchmarks.
• Ethereum Attestation Service on Base — attestation infrastructure used for verifiable credential issuance.
• GENIUS Act and CLARITY Act — U.S. legislation cited as regulatory backdrop for stablecoin and onchain credit infrastructure.

This litepaper reflects the state of Cr3dentials as of 2026. Specific figures, customers, and product details may evolve as the company and the verification infrastructure category continue to develop.

Cr3dentials | Newark, Delaware, United States | www.cr3dentials.xyz