waveguard_wallet_profile

Active

declared in 3.3.0

Profile wallet behavior against baselines. Send normal wallet transaction patterns as training (tx_count, avg_value, unique_tokens, gas_spent, active_days, etc.) and suspect wallets as test. Detects bot activity, wash trading wallets, and sybil patterns. Example: Profile 50 organic wallets → test 10 suspect addresses.

Parameters schema

{
  "type": "object",
  "required": [
    "training",
    "test"
  ],
  "properties": {
    "test": {
      "type": "array",
      "minItems": 1,
      "description": "1+ suspect wallet profiles to evaluate."
    },
    "training": {
      "type": "array",
      "minItems": 2,
      "description": "3+ known-organic wallet activity profiles."
    },
    "sensitivity": {
      "type": "number",
      "description": "Detection sensitivity (default: 1.5)."
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.50.

Parent server

WaveGuard

https://github.com/gpartin/LFMAnomalyDetection

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