RociFi is a protocol building the two key pillars of Web3’s future – on-chain credit scores and under-collateralized lending. The credit scoring is powered by our non-fungible credit score (NFCS), which ranks users according to their likelihood of repaying an under-collateralized loan. The scale is 1 to 10 with 1 being the best score and 10 being the worst.
For reference, NFCS is built using RociFi protocol repayment data and other DeFi protocols; including Aave and Compound. The depth and breadth of data allows the NFCS to be the clear leader in on-chain credit scores which has applicabilities to other lending protocols.
In particular, lending protocols like Aave and Compound could use RociFi NFCS to achieve better capital efficiency by offering higher LTVs to higher scored borrowers – generating greater revenues without a demonstrable increase in insolvency risk – akin to a micro-level Gauntlet.
The best part is that the NFCS API is open to any developer or protocol to call for real-time scores of any NFCS holder, thus they could integrate this score based on each protocol’s individual needs.
Below we provide comparisons of the revenue Aave and Compound generated historically and what they would have generated using RociFi NFCS scores for higher capital efficiency. The following LTVs used for revenue simulations are per score:
*As of writing (2022-10-04). RociFi does not currently offer lending of non-stable collateral. LTV’s provided are representative of what protocol could choose to provide to their users. Simulations are estimates which may differ from actual results.
Using a simulation period from May 2019 to Aug 2022, we compare the estimated total and monthly gross revenue Compound would have earned with and without RociFi NFCS; assuming an APR of 8%.
Using RociFi NFCS would have generated revenue of ~$493,615,642, while without only earned ~$208,607,361. By being able to offer higher LTVs, Compound would have generated an additional $285,008,281 in value (net of liquidations) with a negligible increase in insolvency risk.
Tokens Considered : [‘AAVE’, ‘BAT’, ‘COMP’, ‘DAI’, ‘ETH’, ‘FEI’, ‘LINK’, ‘MKR’, ‘SUSHI’, ‘TUSD’, ‘UNI’, ‘USDC’, ‘USDP’, ‘USDT’, ‘WBTC’, ‘YFI’, ‘ZRX’]. The base LTV used for simulating Compound revenue for each token was 80%. Revenue simulations assume no default
By scoring borrowers using the NFCS, Compound is able to achieve better capital efficiency by not penalizing responsible borrowers, enabling higher loan allocation to this subgroup, i.e. give good borrowers more loans and less to worse borrowers. This simple heuristic is illustrated in the distribution of loan amount by score chart below.
Using RociFi NFCS, despite higher LTVs, a heavy concentration of Compound loan volume went to the very best borrowers, i.e. credit scores 1-5, comprising 99% of total loan volume issued. Thus, increased revenue with minimal increase in insolvency risk.
Integrating onchain credit scores from RociFi NFCS allows existing lending protocols to offer more competitive LTVs, thus higher risk-adjusted revenues. Additional positive byproducts of adopting RociFi NFCS by protocols are (1) incremental revenue can be passed back to the community and (2) better product attractiveness via higher LTV for borrowers with lower rates, and higher supply rates to lenders.