Is the Emergentphysicslab Waveguard MCP server down?

• Added "type":"string" to untyped parameters: data_a, data_b. Change to number/boolean/array where that's what you accept. (verify)

{
  "name": "waveguard_compare",
  "description": "Compare two data items for structural similarity using physics-based fingerprints. Returns cosine similarity (0–1) and Euclidean distance. Use for duplicate detection, behavioral matching, drift analysis, or checking if two tokens/wallets/contracts are structurally similar.\n\nCosine similarity > 0.95 = very similar. < 0.80 = structurally different.",
  "inputSchema": {
    "type": "object",
    "required": [
      "data_a",
      "data_b"
    ],
    "properties": {
      "data_a": {
        "description": "First data item to compare.",
        "type": "string"
      },
      "data_b": {
        "description": "Second data item to compare (same type as data_a).",
        "type": "string"
      },
      "encoder_type": {
        "enum": [
          "json",
          "numeric",
          "text",
          "timeseries",
          "tabular"
        ],
        "type": "string",
        "description": "Data encoder. Omit to auto-detect."
      }
    }
  },
  "annotations": {
    "title": "Compare Data Similarity",
    "readOnlyHint": true,
    "openWorldHint": true,
    "idempotentHint": true,
    "destructiveHint": false
  }
}

• Added "type":"string" to untyped parameters: base_test. Change to number/boolean/array where that's what you accept. (verify)

{
  "name": "waveguard_counterfactual",
  "description": "Run baseline plus counterfactual variants and measure verdict/score sensitivity.",
  "inputSchema": {
    "type": "object",
    "required": [
      "training",
      "base_test",
      "counterfactual_tests"
    ],
    "properties": {
      "training": {
        "type": "array",
        "minItems": 2,
        "description": "2+ baseline normal samples used to build the reference profile."
      },
      "base_test": {
        "description": "Baseline candidate sample to evaluate before counterfactual perturbations.",
        "type": "string"
      },
      "field_level": {
        "enum": [
          0,
          1
        ],
        "type": "integer",
        "description": "0 = real scalar field (faster), 1 = complex field (richer phase dynamics)."
      },
      "sensitivity": {
        "type": "number",
        "description": "Anomaly sensitivity multiplier (default: 1.0). Higher values flag more aggressively."
      },
      "encoder_type": {
        "type": "string",
        "description": "Optional encoder override. Omit to auto-detect from input structure."
      },
      "counterfactual_tests": {
        "type": "array",
        "minItems": 1,
        "description": "1+ perturbed variants of base_test for sensitivity analysis."
      }
    }
  },
  "annotations": {
    "title": "Counterfactual Analysis",
    "readOnlyHint": true,
    "openWorldHint": true,
    "idempotentHint": true,
    "destructiveHint": false
  }
}

• Added "type":"string" to untyped parameters: data. Change to number/boolean/array where that's what you accept. (verify)

{
  "name": "waveguard_fingerprint",
  "description": "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.\n\nReturns a deterministic vector with labeled dimensions (chi statistics, energy distribution, gradient patterns, and phase coherence at Level 1)",
  "inputSchema": {
    "type": "object",
    "required": [
      "data"
    ],
    "properties": {
      "data": {
        "description": "Any data item to fingerprint: JSON object, numeric array, string, or structured record.",
        "type": "string"
      },
      "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."
      }
    }
  },
  "annotations": {
    "title": "Physics Fingerprint",
    "readOnlyHint": true,
    "openWorldHint": true,
    "idempotentHint": true,
    "destructiveHint": false
  }
}