ChainAware.aiPredictive analytics and fraud detection for Web3 wallets, tokens, and dApps.
Overview
Key features
- AI-driven fraud and scam detection
- Rug pull prediction for tokens
- Wallet auditing and behavior analysis
- Smart contract risk assessment
- Multi-chain Web3 monitoring
- Dashboards and risk reports
Pricing
- Model
- Freemium
- Category
- AI security
- Rating
- 5.0 / 5 (5)
Use cases
Detect Rug Pulls Before Investing
Crypto investors can screen tokens with AI-driven rug pull predictions and risk scores to avoid scams and make more informed investment decisions.
Audit Wallets for Suspicious Behavior
Exchanges and compliance teams can analyze wallet activity patterns to flag fraudulent counterparties and meet ongoing monitoring requirements.
Assess Smart Contract Risk
dApp builders can evaluate smart contracts for vulnerabilities and risk indicators across multiple chains before integrating or deploying them.
Monitor Project Health for Reporting
Businesses can use readable dashboards and risk reports to track token and project health continuously, sharing insights with both technical and non-technical stakeholders.
Pros & Cons
Pros
- Predictive risk scoring tailored to Web3
- Covers wallets, tokens, and smart contracts
- Useful for both retail users and businesses
- Combines on-chain data with AI models
Cons
- Predictions are probabilistic, not guarantees
- Coverage varies across chains and assets
- Advanced features likely require a paid plan
Reviews
Average from 5 ratings.
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Solid for our team
We rolled this out across the team last quarter and predictive risk scoring tailored to Web3. Rug pull prediction for tokens fits neatly into how we already work, and wallet auditing and behavior analysis removed a step we used to do by hand. but it has held up under daily use.
Does the job
Pretty happy overall. Smart contract risk assessment just works and combines on-chain data with AI models. but no dealbreakers — I'd recommend it to a friend without hesitating.
Solid for our team
We rolled this out across the team last quarter and useful for both retail users and businesses. Dashboards and risk reports fits neatly into how we already work, and rug pull prediction for tokens removed a step we used to do by hand. but it has held up under daily use.
Compared a few options
Evaluated this against two competitors. Where it wins: smart contract risk assessment and combines on-chain data with AI models. On balance the feature set — especially aI-driven fraud and scam detection — justifies the 5 stars for our use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is wallet auditing and behavior analysis — handled better than most — and covers wallets, tokens, and smart contracts. Worth the time if this is your use case.
Q&A
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