Currently, there are three major structural issues in the DeFi fixed income sector: First, the narrowing of value dimensions, where over 80% of protocols only bind asset value to basic annual yields, ignoring the additional value brought by credit accumulation and ecological participation, resulting in comprehensive asset returns that are 15%-25% lower than traditional 'Fixed Income +' products; Second, inefficient scenario collaboration, with severe data silos in staking, lending, and RWA scenarios, requiring institutions to repeat risk control reviews during cross-scenario allocations, with average operation cycles exceeding 3 days and efficiency losses exceeding 40%; Third, user demand mismatch, where 'One-Size-Fits-All' product design fails to accommodate institutional compliance needs and retail low-threshold demands, with core demand satisfaction rates for both user types below 65%. TreehouseFi constructs a 'Multidimensional Collaborative Value System (MVCS)', reconstructing the industry's value logic through the three major mechanisms of asset value layer activation, cross-scenario data collaboration, and layered adaptation to user needs, while aligning with the trends of RWA standardization and agile institutional allocation.
1. Asset Value Layer Activation: Breaking Through the Limitations of 'Single Yield'
The industry generally simplifies fixed income assets into 'Yield Generating Tools', with weak correlations between asset value and user behavior, as well as ecological dynamics, resulting in inadequate risk resistance and yield elasticity. The MVCS system, through a 'Multidimensional Value Mapping Architecture', decomposes the value of core assets (tAssets, RWA) into three layers: 'Basic Yield + Credit Appreciation + Ecological Rights', achieving value expansion with market and user behavior dynamics.
On a technical level, it relies on Decentralized Interest Rate Benchmarks (DOR) and on-chain credit contracts: The basic yield layer anchors DOR real-time supply and demand data, dynamically adjusting based on multi-chain capital flows to ensure yields are in sync with the market's fair level; the credit appreciation layer is generated based on users' on-chain credit data (continuous holding duration, redemption performance records, cross-chain compliance), allowing users holding tAssets for 90 days with no defaults to enjoy a 5%-10% reduction in staking rates for RWA investments without the need for third-party credit endorsement; the ecological rights layer associates the underlying governance rights of the corresponding public chain assets and Layer 2 airdrop qualifications, enabling users holding tAssets to participate in key proposal voting and simultaneously access early participation opportunities in ecological projects, breaking the limitation of assets 'only containing financial attributes'.
This layered activation model enhances the comprehensive value of assets by over 30% compared to the industry's single yield model, while also improving asset resilience to fluctuations—during the Q2 2024 adjustment period in the crypto market, the yield volatility of assets adopting the MVCS system narrowed by 35% compared to the industry average, aligning with institutions' need for 'Stable Returns + Additional Value' in their allocations.
2. Cross-Scenario Data Collaboration: Breaking Through the 'Efficiency Loss' Barrier
The independent operation of scenarios such as staking, lending, and RWA has led to prominent data silo issues: When institutions allocate across scenarios, the same asset requires repeated risk control assessments, resulting in low review efficiency; retail users have over 8 steps for cross-scenario operations, with an average idle fund time of 6 hours. The MVCS system establishes a cross-scenario data middle platform through a 'Distributed Scenario Collaboration Protocol', achieving a leap in value transfer efficiency.
The data middle platform realizes real-time sharing of three key types of data through standardized interfaces: First, risk control data, where KYC reviews and risk ratings completed by users in any scenario can be synchronized to all associated scenarios, allowing institutional users to avoid repeated submission of qualification proofs, improving review efficiency by 65%; Second, asset performance data, where a record of no defaults in the staking scenario and sufficient payment records in RWA can serve as the basis for interest rate discounts in the lending scenario and collateral reduction certificates in the derivatives scenario, achieving 'One Performance, Multiple Scenario Rights'; Third, market dynamics data, where multi-chain interest rate fluctuations and RWA industry prosperity are synchronized in real-time across scenarios, allowing scenario parameters (collateral rate, profit sharing) to automatically adjust with market changes, avoiding value loss caused by data lag.
In addition, risk parameter linkage has been achieved between scenarios—when the credit rating of a certain type of asset in the RWA scenario is downgraded, the collateral rate and lending limit of that asset in the staking and lending scenarios are adjusted simultaneously, forming a risk control closed loop. This collaborative model increases the efficiency of institutional cross-scenario allocation by 3 times, reducing the idle fund rate for retail users to below 5%, aligning with institutional 'Agile Management' and retail 'Efficient Arbitrage' needs.
3. Precise Adaptation to User Needs: Resolving the 'Layered Demand' Contradiction
The DeFi fixed income industry has long faced the issue of 'disconnection between user layered demands and product design': Institutional users need compliant custody and customized risk control but lack dedicated tools; retail users pursue low thresholds and lightweight operations but face complex interfaces, with retention rates for both user types below 70%. The MVCS system achieves precise coverage through a 'Layered Adaptation Mechanism'.
For institutional users, provide a 'Compliance Customization Module': supporting integration with licensed custodians (Fireblocks, Anchorage), integrating on-chain KYC/AML verification, opening customizable risk control parameter interfaces (such as adjusting tAssets staking rate ranges, setting RWA investment limits), while automatically generating on-chain data reports required for regulation, meeting compliance requirements such as EU MiCA and US FATF; for retail users, launch a 'Lightweight Intelligent Configuration Tool', which automatically generates asset portfolio plans based on user risk preferences (Conservative/Balanced/Aggressive) and idle fund duration, reducing operation steps from 8 to 2, while splitting RWA assets into small units of $100 each, lowering participation thresholds.
This layered adaptation mechanism reduces compliance operation time for institutional users by 70%, while retail users' onboarding time decreases from 30 minutes to 5 minutes, with satisfaction rates for both user types exceeding 90%, effectively breaking the industry-wide 'One-Size-Fits-All' allocation dilemma.
Future Trend Forecast
Combining the trends of 'Deepening RWA Standardization' in the DeFi fixed income sector with 'Continuous Institutional Fund Inflow', the value of the MVCS system will be further released within the next 12 months: Its TVL is expected to grow from the current $500 million to $1.5 billion, entering the top 20 in DeFi fixed income protocol TVL rankings; RWA collaboration scenarios will expand from the existing 10 types to 25 types, adding subfields like green bonds and supply chain financial ABS; its 'Multidimensional Collaboration' logic is expected to become an industry standard, promoting the upgrade of DeFi fixed income from a 'Single Function Tool' to an 'Ecosystem Value Carrier', providing a reusable technical path for the global digitization of fixed income.
