ARC AI/Blog/How AI Agents Detect Crypto Scams Before They Happen
Technology6 min read

How AI Agents Detect Crypto Scams Before They Happen

ARC AI's Sentinel agent scans thousands of new token contracts every hour using machine-learning heuristics trained on rugpull patterns. Here's exactly how it works.

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ARC AI Team

Intelligence Team

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Every day, hundreds of new tokens launch on Solana. A significant fraction of them are designed to take your money. ARC AI's Sentinel agent was built to spot them before they can.

The anatomy of a crypto scam

Most rugpulls share a predictable pattern: concentrated token supply, locked liquidity with a short unlock window, anonymous team, and a wave of coordinated social media activity. Sentinel cross-references all four signals simultaneously.

What Sentinel checks in real-time

  • Contract bytecode analysis — hidden mint functions, ownership renouncement status, and proxy upgrade patterns that allow post-deploy rug mechanisms.
  • Liquidity lock duration — anything under 6 months on a new launch is flagged. Under 30 days is an automatic high-risk classification.
  • Holder distribution — if the top 10 wallets hold more than 40% of supply at launch, Sentinel raises an alert.
  • Social velocity — sudden Twitter/Telegram follower spikes with low engagement ratios are a strong indicator of purchased hype.

RugCheck integration

ARC AI integrates directly with RugCheck.xyz's API, pulling real-time contract audits and combining them with our own on-chain analysis. The combined score drives the risk badge you see on every token in the platform.

Results

In internal testing across Q1 2025, Sentinel flagged 94% of tokens that subsequently rugpulled within 72 hours — with a false positive rate under 3%. The remaining 6% were sophisticated slow-rugs that evolved after the initial scan window.

Staying safe in crypto doesn't require luck. It requires better intelligence than the person trying to take your money.

#AI#security#rugpull#sentinel#scam detection

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