Currently, the DeFi fixed income sector faces two critical issues that constrain project core competitiveness: First, asset calibration is 'static lagging', where most projects' tAssets (tETH, tUSDC, etc.) and RWA (traditional fixed income, green assets, etc.) only calibrate parameters based on fixed cycles (e.g., daily/weekly) or manual triggers, unable to respond in real-time to changes in scenario data (e.g., tAssets liquidity gaps, fluctuations in RWA underlying cash flow), making it difficult for user yields and risk exposures to match actual scenarios; Second, co-creation value is 'disconnected in single instances', where user co-creation contributions (e.g., rule suggestions, scenario testing) in similar projects are mostly recorded independently, unable to link with historical contributions to amplify value, for example, if a user previously proposed RWA risk rule suggestions, subsequent related optimizations have no correlation between the two contributions, leading to insufficient motivation for long-term participation.
TreehouseFi focuses on the project's own mechanism innovation, achieving parameter real-time matching with scenarios through 'asset dynamic calibration', activating historical contribution linkage through 'co-creation value cumulation', and constructing a more precise and long-term participatory DeFi fixed income ecology through two core designs.
I. Asset dynamic calibration: enabling parameters to match real-time scenario changes
TreehouseFi abandons the traditional model of 'fixed cycle calibration', designing three layers of core mechanisms around 'dynamics', relying on real-time data and smart contracts to achieve second-level response of asset parameters to scenario changes without manual intervention.
1. Real-time data anchoring module
The project builds a 'real-time data anchoring module' for core assets, integrating multi-source compliant Oracles (e.g., liquidity data, cash flow data for RWA underlying assets), strongly binding core asset parameters with real-time scenario data:
• The staking rate of tUSDC is anchored to the 'cross-chain liquidity supply-demand ratio': when the Oracle detects that the borrowing demand for tUSDC on a certain chain exceeds supply by 15%, the module seconds-level reduces the staking rate (e.g., from 92% to 90%), attracting users to supplement liquidity;
• The yield band anchoring for green RWA is 'underlying project carbon reduction': if the carbon reduction of the wind power RWA underlying project exceeds expectations by 20% in the month, the module automatically raises the yield band (e.g., from a basic annualized 3.8% to 4.0%);
• Data sources and anchoring logic (e.g., supply-demand ratio thresholds, yield adjustment ranges) are transparent, allowing users to view real-time data and parameter relationships through on-chain dashboards, ensuring calibration traceability.
2. Layered calibration execution rules
The project designs 'layered calibration rules' based on parameter importance (core parameters/secondary parameters), avoiding irrelevant adjustments occupying resources, and ensuring response efficiency:
• Core parameters (staking rate, yield benchmark, redemption limit): adopt 'second-level calibration', adjustments are completed within 10 seconds after the data triggers the threshold, such as if tUSDC experiences a liquidity gap exceeding $5 million, the redemption limit is immediately raised;
• Secondary parameters (transaction fee gradient, rights increment ratio): adopt 'minute-level calibration', adjustments are executed after data continuously deviates from the threshold for 3 minutes, such as the rights increment for green RWA users’ holdings only adjusts when over 40% of maturity users are satisfied;
• Layered rules are solidified through smart contracts, adjustment records are updated in real-time on the chain, and users can filter to view the adjustment history of core/secondary parameters, clearly perceiving the calibration priorities.
3. Calibration effect closed-loop optimization
The project establishes a 'calibration effect monitoring-feedback-optimization' closed loop, ensuring that dynamic calibration continuously aligns with user and scenario needs:
• Real-time monitoring of key indicators after calibration: such as the time taken to fill liquidity gaps after tUSDC calibration (target ≤ 30 minutes), user holding retention rate after RWA calibration (target ≥ 85%), if indicators are not met, it triggers calibration logic optimization;
• Regularly collect user feedback: such as 'Is calibration timely?' 'Are parameter adjustments reasonable?', feedback results are used to adjust data anchoring thresholds (e.g., if user feedback indicates that RWA yield adjustment is too small, the yield band range can be expanded);
• Monthly release of 'calibration optimization reports', publicizing indicator achievement status, user feedback processing results, and the direction of calibration logic adjustments for the next phase, ensuring continuous iteration of the mechanism.
II. Co-creation value cumulation: amplifying historical contributions linkage
TreehouseFi breaks the limitation of 'single co-creation independent accounting', designing a 'value cumulation' system that links users' historical co-creation contributions with new contributions, realizing 'the more you do, the greater the value', strengthening the motivation for long-term participation.
1. Contribution cumulative account
The project opens a 'co-creation contribution cumulative account' for each user, turning each effective co-creation contribution (rule suggestions, scenario testing, risk feedback) into 'cumulative value', rather than a one-time point system:
• Cumulative value calculation rules are transparent: basic contributions (e.g., participation in voting) earn 10 cumulative values, advanced contributions (e.g., submitting actionable suggestions) earn 50 cumulative values, core contributions (e.g., plans being adopted) earn 200 cumulative values;
• Historical cumulative values do not reset to zero, new contributions automatically accumulate, and upon accumulation, trigger an 'appreciation coefficient': when cumulative value reaches 500, new contribution cumulative value increases by 10%; when it reaches 1000, it increases by 20%, with a maximum increase of 50%;
• Users can view cumulative value details in their accounts (e.g., a certain cumulative value comes from RWA rule suggestions in March 2024), current appreciation coefficients, and cumulative history, intuitively perceiving the contribution accumulation effect.
2. Cross-phase contribution linkage
Support users in proposing new co-creation plans based on historical contributions, where historical contributions can serve as 'value endorsement' for new plans, enhancing the weight and landing probability of new contributions:
• If a user has previously proposed 'tUSDC liquidity calibration basic rules' (historical cumulative value 200), when subsequently proposing 'tUSDC liquidity emergency plans', the new plan is automatically linked to historical contributions, increasing the priority for landing review by 30%;
• The stronger the correlation between historical contributions and new plans, the more obvious the endorsement effect: for example, if a historical suggestion for green RWA rules was made, and a new green RWA calibration suggestion is proposed, the new contribution cumulative value receives an additional 15% bonus;
• The linkage relationship is recorded through on-chain tags, with public association basis during the review process, ensuring endorsement fairness and traceability.
3. Cumulative value fulfillment
Project design 'cumulative value ladder fulfillment mechanism', the higher the cumulative value, the more core rights can be unlocked, and the rights continuously upgrade with the increase in cumulative value:
• Cumulative value reaches 300: unlock 'calibration rule viewing rights', allowing 24-hour advance viewing of asset calibration forecasts;
• Upon reaching 800: unlock 'initial screening rights for co-creation plans', participating in the preliminary selection voting for new co-creation plans;
• Upon reaching 1500: unlock 'calibration parameter suggestion rights', allowing the project to submit parameter adjustment suggestions for asset dynamic calibration, which will be prioritized in the review process;
• Rights fulfillment does not require manual application, automatically activating after reaching the cumulative value standard, users can view unlocked rights and usage instructions in their account center, ensuring value realization.
III. Ecological synergy and future directions
TreehouseFi forms a positive ecological cycle through the dual interaction of 'asset dynamic calibration' and 'co-creation value cumulation': dynamic calibration allows asset parameters to match scenarios in real-time, enhancing user configuration experience; users continuously participate in co-creation to accumulate cumulative values and unlock higher-tier rights, with their proposed calibration optimization suggestions feeding back into the dynamic calibration mechanism, making parameter adjustments more precise; simultaneously, the accumulation effect of cumulative values attracts users for long-term retention, promoting dual growth of ecological scale and vitality.
In the future, TreehouseFi will focus on advancing three major directions:
1. Dynamic calibration scenario expansion: new scenarios such as 'county-level micro-loans' and 'cross-border supply chain RWA' are added, refining scenario data anchoring dimensions (e.g., operating cash flow data for micro users, fulfillment rate data for supply chains);
2. Cumulative tool upgrade: develop a 'contribution cumulative assistant', automatically recommending co-creation themes related to historical contributions to users, lowering the threshold for cross-phase contribution linkage;
3. Transparency enhancement: improve the on-chain data disclosure system, publicly announcing the Oracle data for asset dynamic calibration, and the calculation details of co-creation cumulative values in real-time, enhancing user trust.
TreehouseFi addresses the parameter lag issue with 'asset dynamic calibration' and activates long-term participation with 'co-creation value cumulation', focusing on the project's own mechanism innovation, not only filling the gap of 'real-time calibration' and 'contribution linkage' in the DeFi fixed income field but also promoting the project from a 'single fixed income tool' to a 'precise, long-lasting ecological platform'.
