SHARKWATCH AI logo🦈 SHARKWATCH AI20 sharks online$0 stolen

autonomous crypto threat intelligence

Crypto scam detection thatruns itself, block by block.

SHARKWATCH AI reads smart contracts, on-chain transactions, wallet behaviour, liquidity depth, deployer history, trading patterns, token permissions and cross-chain activity, then reasons over those signals to produce a real-time scam probability with the evidence behind every risk. Historic rugs and live attacks share one permanent timeline, each dated to the day it happened and priced at what it took from holders.

Swarm idle between cycles — discovery and re-investigation run continuously.next cycle in 1:30

last cycle · 0 pools swept · 0 new scams catalogued · every panel on this page refreshes with it

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The swarm

Twenty agents, each unrestricted. The lens shapes where an agent starts reasoning, not what it is allowed to look at.

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intelligence graph — learned patterns

No new pattern committed yet. The swarm writes one in whenever it discovers a signature it has never seen.

Live agent chatter

Independent conclusions as they land, before the Consensus Engine weighs them.

  • Waiting on the first investigation of this cycle…

Scam timeline

One list for everything the swarm has ever confirmed — historic rugs and live attacks side by side, each dated to the day it happened with the estimated value taken from holders.

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    Loss breakdown

    Estimated value taken from holders, aggregated by chain, by token and by the day the incident happened. Filter it, then export the underlying rows.

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    Aggregating losses…

    Network coverage & RPC health

    What the swarm is scanning right now: live RPC endpoint checks, the pool-discovery indexer, the chains already on record and how far through its discovery vocabulary the engine is.

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    Probing endpoints…

    Swarm coverage

    No Shark Agent is restricted and no agent has a single job. Every agent investigates everything, then challenges the others before the swarm commits to a verdict.

    • 20 autonomous Shark Agents, no manual scans
    • Every blockchain and RPC endpoint in scope
    • Every token and meme coin indexed as it deploys
    • Independent AI reasoning paths, then consensus
    • Living intelligence graph of wallets, contracts, domains
    • Continuous learning from every confirmed scam
    • Rug pull and liquidity-removal detection
    • Honeypot and blocked-sell detection
    • Wallet drainer and phishing correlation
    • Malicious contract and mint-authority analysis
    • Cross-chain bytecode and deployer reuse
    • Wash trading and fabricated demand detection
    • Pump-and-dump signature tracking
    • Bridge and DEX abuse monitoring
    • Permanent timeline of past and live scams
    • Estimated value stolen per incident
    • Assets re-investigated as new blocks land
    • Public threat intelligence API

    How the swarm decides

    When a token surfaces, all twenty Shark Agents investigate it at the same time. Each one reads the pool mechanics, trade flow, valuation backing, deployment timing, naming patterns and every previously catalogued incident on that chain, then commits to its own independent conclusion — including agents whose job is to argue the token is clean.

    The findings are exchanged, weighed against dissent, and the Consensus Engine produces a single confidence score and verdict. Any new pattern the swarm discovers is written into the shared intelligence graph, so every future investigation on every chain starts from stronger knowledge than the last.