This smart contract analyzes crypto projects using AI and assigns a scam risk score between 0–100.
GenLayer enables verifiable AI-powered decisions on-chain.
This demo shows how AI outputs can be recorded transparently.
- User inputs a project name
- AI analyzes risk level
- Score is stored on-chain
- Multi-factor analysis
- On-chain reputation tracking
- AI confidence score
Project: ExampleCoin
AI Output: Scam Risk Score: 72
This score is recorded on-chain for transparency.
Below is a sample structured risk analysis output generated by the AI model:
{
"project": "FakeSwap",
"ai_risk_score": 84,
"risk_level": "High",
"analysis_timestamp": "2026-03-03T21:00:00Z",
"model_version": "v1.0-genlayer-ai"
}This output demonstrates how the contract structures AI-based scam risk analysis results.
- v1: Basic AI scam risk scoring (0–100)
- v2: Multi-factor weighted scoring model
- v3: On-chain verifiable AI proof integration (planned)