Currently, there are two core pain points limiting the ecological trust in the DeFi fixed income sector: First, the lack of scenario-based attribution for asset value—most similar projects present only the 'result value' of asset (tAssets/RWA) yields and risks, lacking an 'attribution chain'—users see an annualized 3.8% on tUSDC but cannot know whether the yield comes from cross-chain liquidity, RWA subsidies, or fee sharing; when the RWA collateral ratio is raised to 1.6 times, it's unclear whether it's due to fluctuations in underlying cash flows or a decrease in trade performance, making it difficult for institutions to accurately assess risk sources, reducing decision-making efficiency by 30%; Second, insufficient verifiability of user participation value—participation actions (governance voting, liquidity provision) in similar projects are mostly 'unilaterally determined by the platform', lacking on-chain verifiable certificates—'contribution values' from 10 governance votes are only recorded in the platform database without on-chain proof, leading to disputes when redeeming rights; the outcomes of collaborative creation by institutional teams (such as optimizing staking rules) also cannot be proven through verifiable certificates, resulting in weak 'trust security' for long-term participants, with retail user dispute rates exceeding 25%.

To address the above pain points, TreehouseFi innovatively constructed a dual-core architecture of 'asset value scenario attribution + verifiable user participation value', through three major designs: attribution tracing mechanism, verifiable certificate system, and ecological trust feedback. This makes the 'source of asset value, risk factors' fully transparent throughout the chain, while the 'behavior, contribution, rights' of user participation value can be verified on-chain, addressing the core needs of target users (compliant institutions, trust-oriented retail users) and forming a differentiated barrier of 'transparency + trust' for the project.

One, scenario-based attribution of asset value: breaking the 'black box dilemma' on the project asset side

TreehouseFi breaks through the limitations of similar projects' 'value result orientation', innovatively designing a 'three-layer scenario-based attribution system', relying on multi-dimensional data tags, on-chain attribution contracts, and visual tracing tools to achieve asset value that is 'yield traceable, risk locatable, and optimization traceable', transforming asset value logic from 'black box' to 'transparent ledger'.

1. Yield attribution tracing: each yield corresponds to a scenario behavior

Asset yields are broken down by scenario contribution into 'detailed source labels' and are synced in real-time to users' accounts:

• The annualized 3.8% return on tUSDC is broken down into 'cross-chain liquidity yield (1.2%) + RWA subsidy yield (1.5%) + fee sharing (1.1%)'. Users can click on the label to view details (for example, cross-chain yield comes from the borrowing demand for tUSDC on the Arbitrum chain);

• Green energy RWA annualized at 4.0% is marked as 'face value yield (3.5%) + policy subsidy bonus (0.3%) + ecological resonance yield (0.2%)'. A certain institution discovered through tracing that the 'policy subsidy bonus' proportion was low and adjusted its allocation to the higher-subsidy wind power RWA, increasing quarterly yields by 0.6 percentage points.

2. Risk attribution linkage: risk levels correspond to scenario factors

Asset risk parameters (collateral ratio, redemption restrictions) are strongly bound to specific scenario risk factors, allowing risk changes to be pinpointed:

• The collateral ratio for cross-border e-commerce RWA was raised from 1.4 times to 1.6 times, with the attribution label showing 'due to the logistics delay rate in the target country rising to 15% (threshold 10%)'. Users can view the source of logistics data (connected to third-party logistics Oracle);

• tETH cross-chain redemption limits were reduced by 10%, with the attribution label showing 'due to the staking default rate of tETH on the Polygon chain exceeding 0.5%', allowing institutions to quickly adjust cross-chain allocation ratios, reducing risk exposure by 40%.

3. Optimizing feedback from attribution: attribution data drives parameter iteration

Based on identified 'yield weaknesses and high-risk factors' from attribution data, asset rules are optimized in reverse:

• Yield attribution discovered that 'the local liquidity yield of tUSDC in Latin America is only 0.8% (below target of 1.2%)', prompting the project to adjust regional liquidity incentives, with that portion of yield increasing to 1.3% one month later;

• Risk attribution indicates that 'the performance risk of consumer goods RWA is concentrated in Q4', with a 0.1 times increase in collateral ratio for this type of RWA 30 days in advance, reducing the Q4 default rate from 1.1% to 0.4%.

This system allows TreehouseFi assets to achieve a 'value transparency' of 98%, enhancing institutional decision-making efficiency by 50%, and reducing the asset risk dispute rate from 18% to 3%.

Two, verifiable user participation value: addressing the 'trust deficiency' on the user side of the project

TreehouseFi addresses the issue of 'unilateral determination of participation value' in similar projects by innovatively developing a 'verifiable certificate system', enabling users' participation value to be 'provable, traceable, and value-addable', thus building a foundation of trust.

1. Participation behavior NFT certification

Each time a user completes an effective participation action, a corresponding 'participation NFT certificate' is automatically generated, recording core information:

• Participation in governance voting generates a 'voting NFT', which includes voting topics (e.g., 'adjusting tUSDC cross-chain interest rates'), voting direction, timestamp, and contribution value (100 points);

• Providing liquidity generates a 'liquidity NFT', marked with asset type (tETH), amount ($1,000), holding duration (7 days), and contribution value (50 points);

• NFT certificates are stored on-chain, immutable, and users can view them through their wallets. A certain retail user accumulated 12 participation NFTs over 6 months, forming a 'participation history'.

2. Value chain traceable on-chain

All participation NFT certificates' 'generation-circulation-redeeming' full-chain records are stored in the 'verification ledger', supporting real-time queries:

• When users redeem rights, the platform automatically verifies the validity of the NFT certificate (e.g., whether it is not expired, whether it is held by the user), eliminating the need for manual review;

• During the handover of the institutional team, the new team can quickly confirm the ecological contributions of the original team by viewing its 'participation NFT collection' (such as whether they participated in the co-creation of RWA rules), reducing handover trust costs by 80%.

3. Strengthening rights after verification

Users holding verifiable NFT certificates enjoy additional bonuses when redeeming rights, incentivizing certificate retention:

• Holding '5 or more voting NFTs' doubles the amount when redeeming RWA priority subscription rights (from $20,000 to $40,000);

• Holding 'liquidity NFTs for 3 months' increases the reduction rate of staking fees by 30% (from 3% to 3.9%);

• A certain user, with 8 participation NFTs, had their tUSDC cross-chain transaction fee discount increase from 0.1% to 0.13%, saving $360 in operational costs over six months.

This system allows TreehouseFi retail users' participation trust to reach 95%, reducing the rights dispute rate from 25% to 2%, and the reuse rate of participation certificates for institutional users (e.g., for compliance proof) reaching 75%.

Three, ecological synergy and development path

TreehouseFi relies on 'attribution-validation collaborative contracts' to form a closed loop: 'asset attribution transparency → attracting trust-based users → user participation generating verification certificates → certificate data feedback to optimize attribution': asset transparency attracts compliant institutions, users deepen participation to obtain verifiable certificates, and certificate data (e.g., high-frequency participation scenarios) helps the project optimize attribution labels, further enhancing transparency.

In the next 12 months, the project will add attribution scenarios for 'cross-border logistics RWA + Middle East tAssets', optimize NFT certificate functions (supporting certificate combinations for redeeming higher-level rights), and launch the 'attribution-validation dashboard'; the goal is to attract 130 institutions (currently 40), achieve over 400,000 retail users (currently 100,000), and grow ecological TVL from $1.8 billion to $5 billion, entering the top 10 in DeFi fixed income project TVL rankings, becoming an industry benchmark for 'transparent trust ecology'.

TreehouseFi's dual-core architecture not only addresses the pain points of the DeFi fixed income 'value black box and trust deficiency' but also promotes the project from a 'yield tool' to a 'trust-based asset platform', providing a new paradigm for the compliance and trust-based allocation of global fixed income assets.@Treehouse Official #Treehouse $TREE