Decentralized finance is intensifying efforts to develop on-chain native credit systems, but adoption remains limited, with only a handful of active projects and total value locked still far below traditional DeFi lending protocols.
The model, which replaces collateral requirements with credit decisions based on on-chain behavior and repayment history, is widely viewed as a key step in expanding liquidity. Without it, analysts say DeFi growth will remain constrained despite the rapid rise in stablecoin supply, which increased from about $240 billion in mid-2025 to more than $320 billion by mid-2026.
Limited adoption despite strong demand
Only five to ten projects are currently experimenting with on-chain credit creation. Their combined scale remains small compared to established lending platforms that rely on overcollateralization, a structure that continues to dominate due to its simplicity and risk control.
Demand, however, is evident. Market makers, crypto-native firms, and tokenized asset originators with steady cash flows often lack excess collateral, leaving them underserved. Existing systems tend to concentrate liquidity among participants who already hold significant crypto assets.
Early experiments show mixed results
Projects like 3Jane and Divine Research illustrate both the promise and limitations of this emerging segment.
3Jane combines encrypted access to off-chain banking data with blockchain records to generate a proprietary credit score and issue unsecured loans in USD-pegged tokens. Despite raising $5.2 million in seed funding in 2025, its active lending pool remains in the tens of thousands of dollars.
Divine Research takes an identity-based approach using World ID verification and gradually increasing loan limits. By late 2025, it had issued more than 500,000 loans to over 100,000 borrowers, primarily in Latin America and Africa. While first-loan default rates reached 40 percent, losses declined sharply after repeated successful repayments.
Other platforms, including Wildcat Finance, Clearpool, TrueFi, and Union Protocol, operate hybrid models that combine partial collateral with institutional credit. Their deposits range from hundreds of thousands to a few million dollars.
Major protocols remain cautious
Leading DeFi platforms such as Aave, Compound, and Morpho have not entered unsecured credit markets, citing unresolved tail risks and regulatory pressure around consumer lending.
Instead, they continue to refine overcollateralized systems. Morpho, for example, recently raised $175 million to expand its infrastructure for isolated lending markets, a model increasingly adopted by centralized venues and custodians. Total value locked in DeFi lending has recovered to แแแแฎแแแแแแ $75 billion to $80 billion by mid-2026, driven largely by institutional participation in these lower-risk structures.
Institutional shift and RWA growth
Experimentation with undercollateralized credit has increasingly shifted toward institutional borrowers. Platforms like Clearpool and Wildcat facilitate transparent lending between known entities, with customizable credit markets tailored to specific borrower profiles.
At the same time, tokenized real-world assets are expanding rapidly, surpassing $26 billion in on-chain value by early 2026. Tokenized U.S. Treasuries account for more than $12 billion, providing high-quality collateral that attracts traditional financial participants while reinforcing the need for more advanced credit pricing systems.
Missing infrastructure slows progress
A major constraint is the lack of a shared on-chain credit framework. Unlike the FICO system introduced in 1989, which standardized credit scoring in the United States, DeFi lacks a transferable reputation layer.
Each protocol currently builds its own scoring model, limiting data reuse and network effects. Without a shared default history or reliable identity verification, reputational consequences do not carry across platforms.
Analysts point to three core challenges:
- reliable integration of off-chain credit data
- a decentralized equivalent of a credit bureau
- persistent, privacy-preserving digital identity
These barriers make the emergence of a unified โon-chain FICOโ unlikely in the near term.
Identity and AI add new dimensions
Progress on identity systems remains gradual but critical. World ID has enrolled nearly 18 million users as of April 2026, though adoption is tempered by privacy concerns and the absence of universal standards. At the same time, tools developed during the SocialFi cycle are being repurposed into broader reputation infrastructure.
Artificial intelligence is also beginning to play a role. AI-driven systems are being designed for real-time credit scoring and compliance, combining on-chain activity with verifiable credentials. With projections indicating that a growing share of blockchain transactions could soon be initiated by automated agents, the need for machine-speed risk management is becoming more urgent.
Transitional models gain traction
In the absence of fully developed credit systems, protocols are adopting interim approaches that reward repayment behavior rather than relying solely on collateral.
These include gradually reducing collateral requirements for reliable borrowers, securing loans against future on-chain cash flows such as protocol revenue or tokenized wages, and using delegated lenders who stake capital and absorb first losses in exchange for yield.
Such models tie loan terms directly to verifiable on-chain activity, enabling participants to build portable reputations over time. Analysts say this incremental approach could eventually form the basis of a broader credit framework, allowing DeFi to move closer to scalable, native credit creation while maintaining transparency and risk discipline.
For a deeper dive into DeFi versus traditional systems and credit, explore our guide on TradFi vs DeFi today.
Disclaimer: The content on this page is provided for general informational purposes only and does not represent the views or financial advice of Toobit. We make no guarantees regarding the accuracy or completeness of this information and shall not be held liable for any errors, omissions, or outcomes resulting from its use. Investing in digital assets involves risk; users should independently evaluate their financial situation and the risks involved. For further details, please consult our Terms of Service and Risk Disclosure.
