Add goddid.money, used Entropy in credit score calculation #86
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Pyth Examples Contribution
Type of Contribution
Project Information
Project/Example Name: goddid.money
Pyth Product Used:
Blockchain/Platform:
Description
What does this contribution do?
Check our main repo for the full project: https://github.com/ericliujt/goddid-polymarket
goddid.money converts a Polymarket trader’s verified trading history into an on chain credit profile and enables borrowing FXRP against their performance. The protocol integrates Pyth Entropy for anti-gaming loan variability.
How does it integrate with Pyth?
Each loan quote consumes verifiable randomness.
Randomness introduces controlled LTV and max borrow variation.
Prevents deterministic loan farming.
Removes backend and miner influence from credit pricing.
Deployed contract address: 0x2e951d54caD20ff3CeA95bFc79CF11FfC62E0134
What problem does it solve or demonstrate?
It demonstrates how Pyth Entropy can be used to add anti-gaming variability into credit terms (LTV and max borrow) so that users cannot deterministically farm “perfect” loan quotes from a fixed credit formula, while still keeping all randomness on-chain and verifiable.
Directory Structure (for new examples)
entropy/goddid-money/
entropy/goddid-money/
├── creditContract
│ └── CreditScore.sol
│--creditEngine
│ └── credit calculation files
Testing & Verification
How to Test This Contribution
Prerequisites
Setup & Run Instructions