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Card snapshot

api.dexter.cash · 2026-10-07 03:28:42 UTC · c88ef83b1a407058b851b71eca220ccebb97c10977631f3462adc87abb4e933a

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "fraud-signature-engine",
  "description": "AI-powered fraud detection engine for Solana. Analyzes wallets, tokens, and transactions against 10 known fraud signature patterns (rug pulls, honeypots, wash trading, sybil attacks, sandwich bots, phishing drains, pump & dumps, flash loan exploits). Gathers on-chain data from Helius, Solscan, and DexScreener, then uses GPT-5.2 for forensic pattern matching and risk scoring.",
  "url": "https://res-mlxcrm21-3jyxb1.dexter.cash",
  "provider": {
    "organization": "Dexter Lab",
    "url": "https://lab.dexter.cash"
  },
  "iconUrl": "https://qdgumpoqnthrjfmqziwm.supabase.co/storage/v1/object/public/tool-artifacts/lab-covers/res-mlxcrm21-3jyxb1/cover.png",
  "version": "1.0.0",
  "documentationUrl": "https://res-mlxcrm21-3jyxb1.dexter.cash",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "defaultInputModes": [
    "application/json",
    "text/plain"
  ],
  "defaultOutputModes": [
    "application/json",
    "text/plain"
  ],
  "skills": [
    {
      "id": "endpoint-0",
      "name": "GET /api/signatures",
      "description": "Free: List all 10 known fraud signature patterns with categories, severity, and indicators",
      "tags": [
        "x402",
        "fraud",
        "security",
        "solana",
        "ai",
        "forensics",
        "rug-pull",
        "honeypot",
        "wallet-analysis",
        "token-analysis",
        "mev"
      ]
    },
    {
      "id": "endpoint-1",
      "name": "POST /api/scan/wallet",
      "description": "Deep AI-powered wallet fraud scan \u2014 analyzes balances, identity, funding trail, transaction history, and swap patterns against 10 fraud signatures",
      "tags": [
        "x402",
        "fraud",
        "security",
        "solana",
        "ai",
        "forensics",
        "rug-pull",
        "honeypot",
        "wallet-analysis",
        "token-analysis",
        "mev"
      ]
    },
    {
      "id": "endpoint-2",
      "name": "POST /api/scan/token",
      "description": "Deep AI-powered token fraud scan \u2014 detects rug pulls, honeypots, wash trading, pump & dumps using holder data, liquidity analysis, and DEX metrics",
      "tags": [
        "x402",
        "fraud",
        "security",
        "solana",
        "ai",
        "forensics",
        "rug-pull",
        "honeypot",
        "wallet-analysis",
        "token-analysis",
        "mev"
      ]
    },
    {
      "id": "endpoint-3",
      "name": "POST /api/scan/transaction",
      "description": "AI-powered transaction fraud analysis \u2014 detects MEV/sandwich attacks, phishing drains, and flash loan exploits from parsed transaction data",
      "tags": [
        "x402",
        "fraud",
        "security",
        "solana",
        "ai",
        "forensics",
        "rug-pull",
        "honeypot",
        "wallet-analysis",
        "token-analysis",
        "mev"
      ]
    }
  ]
}