# Decentralized Credit Scoring ⎊ Area ⎊ Resource 2

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## What is the Model of Decentralized Credit Scoring?

Decentralized credit scoring involves assessing a user's creditworthiness based on their on-chain transaction history and protocol interactions rather than traditional off-chain data. These models analyze factors such as repayment history on lending protocols, collateralization ratios, and participation in governance to generate a reputation score. The methodology aims to quantify risk in a transparent and permissionless manner.

## What is the Risk of Decentralized Credit Scoring?

The primary challenge for decentralized credit scoring is the lack of traditional identity verification, which makes Sybil attacks a significant risk. A single entity could create multiple wallets to fabricate a positive credit history, undermining the model's accuracy. Furthermore, data privacy concerns arise when linking on-chain activity to real-world identities, requiring careful design to balance transparency with user anonymity.

## What is the Application of Decentralized Credit Scoring?

The application of decentralized credit scoring extends to undercollateralized lending and derivatives trading in DeFi. By providing a quantifiable measure of risk, these scores enable protocols to offer more capital-efficient products to users with proven on-chain reputations. This innovation expands access to financial services beyond the limitations of traditional collateral requirements.


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## [Insider Trading Prevention](https://term.greeks.live/term/insider-trading-prevention/)

## [Manipulation Proof Pricing](https://term.greeks.live/term/manipulation-proof-pricing/)

---

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**Original URL:** https://term.greeks.live/area/decentralized-credit-scoring/resource/2/