waveguard_fingerprint

Active

declared in 3.3.0

Get a physics embedding of any data item (52-dim at Level 0, 62-dim at Level 1 with phase statistics). The fingerprint captures structural properties via wave-equation dynamics — useful for similarity search, clustering, baseline comparison, and drift detection. Works on JSON objects, token metrics, wallet activity, trading data, or any structured data. Returns a deterministic vector with labeled dimensions (chi statistics, energy distribution, gradient patterns, and phase coherence at Level 1).

Parameters schema

{
  "type": "object",
  "required": [
    "data"
  ],
  "properties": {
    "data": {
      "description": "Any data item to fingerprint: JSON object, numeric array, string, or structured record."
    },
    "field_level": {
      "enum": [
        0,
        1
      ],
      "type": "integer",
      "description": "0 = real scalar 52-dim (default), 1 = complex field 62-dim."
    },
    "encoder_type": {
      "enum": [
        "json",
        "numeric",
        "text",
        "timeseries",
        "tabular",
        "complex_numeric"
      ],
      "type": "string",
      "description": "Data encoder. Omit to auto-detect."
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

WaveGuard

https://github.com/gpartin/LFMAnomalyDetection

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