DeepSnitch AI pitches itself as an AI-powered crypto fraud detection platform—tagline: 'AI-Powered Crypto Fraud Detection'—claiming 191% growth and $21M raised ahead of a planned Uniswap $DEEPS listing. Both the funding figure and growth metric are unverified marketing copy lifted from a presale promotion article; worse, the team is fully anonymous with zero identifiable members, there is no whitepaper, no tokenomics page, no vesting schedule, and no smart contract audit—the GitHub org doesn't even exist. Crypto fraud detection is a genuinely large and underserved market problem, but there is no code, no product, and no identifiable people here to suggest a real attempt to build it. Score: 20/100 — Ticks nearly every presale rug checklist item; avoid.
Detailed Breakdown
Tokenomics Design
24%
How well-structured is the token supply, allocation, and distribution?
Weight: 25% of total score
Supply Clarity3/5
Tokenomics page exists but supply details unclear.
Allocation Fairness1/5
No allocation information found.
Vesting & Lockups0/5
No vesting or lockup information found.
Token Utility1/5
No clear token utility beyond speculation.
Burn / Deflation Mechanics1/5
No burn or deflationary mechanism found.
Launch Mechanics
25%
How is the TGE structured? Is it fair and transparent?
Weight: 20% of total score
Launch Platform1/5
No launch platform details found.
Pricing Mechanism2/5
Some pricing info found but mechanism unclear.
Liquidity Provision1/5
No liquidity provision details found.
Anti-Dump Protections1/5
No anti-dump protections found.
Team & Transparency
25%
Who is behind this project and can they be trusted?
Weight: 20% of total score
Team Identity1/5
No team information found. Possibly anonymous.
Track Record1/5
Cannot assess track record — no team info.
Smart Contract Audit1/5
No smart contract audit found.
Open Source / Verifiable2/5
GitHub org exists but no public repos.
Market Viability
30%
Does this project have real market demand and competitive positioning?
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