Read on Twitter
1/11
Project Levon is one of our answers to a key challenge in #DeFi:
comprehensive & cohesive risk assessment.
Traditional lending practices offer inspiration as they utilise objective data for risk assessments.
How does Levon work and what are the use cases? 🧐
🧵
Project Levon is one of our answers to a key challenge in #DeFi:
comprehensive & cohesive risk assessment.
Traditional lending practices offer inspiration as they utilise objective data for risk assessments.
How does Levon work and what are the use cases? 🧐
🧵
2/11
Levon is a machine learning-based, credit-grade solution.
It provides a DeFi Credit Risk Framework for lenders & borrowers.
Article:
medium.com/block-analitic…
Levon is a machine learning-based, credit-grade solution.
It provides a DeFi Credit Risk Framework for lenders & borrowers.
Article:
medium.com/block-analitic…
3/11
We use unbiased, public on-chain data to create an innovative, transparent credit grading methodology.
It's our answer to standardizing risk assessment in #DeFi.
More: levon.blockanalitica.com
We use unbiased, public on-chain data to create an innovative, transparent credit grading methodology.
It's our answer to standardizing risk assessment in #DeFi.
More: levon.blockanalitica.com
4/11
The 1st iteration of Levon Grade open beta is here, focusing on @MakerDAO Core Vaults.
Test it by entering different wallet addresses with active vaults in the Maker Protocol.
We've prepared sample addresses to help you understand how Levon Grade works.
The 1st iteration of Levon Grade open beta is here, focusing on @MakerDAO Core Vaults.
Test it by entering different wallet addresses with active vaults in the Maker Protocol.
We've prepared sample addresses to help you understand how Levon Grade works.
5/11
Levon Grade evaluates the probability of default (liquidation) based on open wallets’ vaults current state & historical behavior.
This estimated probability forms the credit grade, using criteria such as transaction history, collateral ratio, and current holdings.
Levon Grade evaluates the probability of default (liquidation) based on open wallets’ vaults current state & historical behavior.
This estimated probability forms the credit grade, using criteria such as transaction history, collateral ratio, and current holdings.
5/11
We designed Levon with versatility in mind, to be used for a wide range of applications.
Use cases include:
- Whitelisting Wallets,
- Creating Granular User Categories,
- Extension into Cross-Collateral Protocols,
- Implementation and/or Integration, and
- Compute-to-Data.
We designed Levon with versatility in mind, to be used for a wide range of applications.
Use cases include:
- Whitelisting Wallets,
- Creating Granular User Categories,
- Extension into Cross-Collateral Protocols,
- Implementation and/or Integration, and
- Compute-to-Data.
6/11
- Whitelisting Wallets:
Levon Grade can create a whitelist of wallet addresses that have passed stress-tests during market shocks.
This allows them access to riskier vault types in any existing or future DeFi lending protocols.
- Whitelisting Wallets:
Levon Grade can create a whitelist of wallet addresses that have passed stress-tests during market shocks.
This allows them access to riskier vault types in any existing or future DeFi lending protocols.
7/11
- Granular User Categories:
Levon Grade helps to categorize users more accurately.
High-scoring wallets can receive benefits, such as lower fees or slower liquidations, thus encouraging safer user behavior.
- Granular User Categories:
Levon Grade helps to categorize users more accurately.
High-scoring wallets can receive benefits, such as lower fees or slower liquidations, thus encouraging safer user behavior.
8/11
- Extension into Cross-Collateral Protocols:
We're currently expanding Project Levon to include cross-collateral protocols like Aave, Spark, & Compound.
This means more lending protocols will be able to benefit from our system.
- Extension into Cross-Collateral Protocols:
We're currently expanding Project Levon to include cross-collateral protocols like Aave, Spark, & Compound.
This means more lending protocols will be able to benefit from our system.
9/11
- Implementation/Integration:
Depending on the use case, we're considering various options for further implementation.
This could include using ComposeDB on Ceramic Mainnet for data-intensive use cases, including credit scoring.
- Implementation/Integration:
Depending on the use case, we're considering various options for further implementation.
This could include using ComposeDB on Ceramic Mainnet for data-intensive use cases, including credit scoring.
10/11
- Compute-to-Data:
In this emerging paradigm implemented by organizations like Protocol Labs, our product could be used to generate wallet-specific credit grades as Soulbound or attestations (verifiable credentials), preserving privacy.
- Compute-to-Data:
In this emerging paradigm implemented by organizations like Protocol Labs, our product could be used to generate wallet-specific credit grades as Soulbound or attestations (verifiable credentials), preserving privacy.
11/11
We invite DAOs, companies, and community members to join us in shaping the future of DeFi risk management.
Reach out to us to explore how Project Levon can benefit you.
📩: @BlockAnalitica
🌐: blockanalitica.com
We invite DAOs, companies, and community members to join us in shaping the future of DeFi risk management.
Reach out to us to explore how Project Levon can benefit you.
📩: @BlockAnalitica
🌐: blockanalitica.com
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