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nexus_similarity_search_api_estimate_corpus_entropy_profile

Active

Tool of io.github.nexus-mcp-infra/similarity-search-api-sdk

declared in 1.28.1

Computes the aggregate entropy-calibrated alpha for a corpus without running a full search -- useful to inspect before committing to a large rank_items_by_nmi_cosine_fusion call. Returns a single aggregate corpus_entropy value, NOT a per-dimension breakdown -- the real logic only exposes the mean marginal entropy across dimensions, not H(X_d) per individual dimension. Do NOT use expecting per-dimension granularity. Requires a valid api_key (same as X-API-Key) and an x402 payment.

Parameters schema

{
  "type": "object",
  "title": "estimate_corpus_entropy_profileArguments",
  "required": [
    "corpus_vectors",
    "api_key"
  ],
  "properties": {
    "n_bins": {
      "type": "number",
      "title": "N Bins",
      "default": 16,
      "maximum": 50,
      "minimum": 3,
      "description": "Number of histogram bins for entropy discretization. Must be between 3 and 50; should match the n_bins used in rank_items_by_nmi_cosine_fusion for the profile to be consistent."
    },
    "api_key": {
      "type": "string",
      "title": "Api Key",
      "description": "API key required for this paid operation -- same secret configured as X-API-Key on the REST endpoints (SIMILARITY_API_KEY). Payment (x402) alone is not sufficient; both gates must pass."
    },
    "corpus_vectors": {
      "type": "array",
      "items": {
        "type": "array",
        "items": {
          "type": "number"
        }
      },
      "title": "Corpus Vectors",
      "maxItems": 500000,
      "minItems": 1,
      "description": "List of dense numeric vectors for which to compute the aggregate entropy and calibrated alpha. Each inner array must be the same length. Maximum 500000 entries."
    }
  }
}

What this tool wraps· 1 endpoint

min confidence0.700.50

Parent server

io.github.nexus-mcp-infra/similarity-search-api-sdk

https://github.com/nexus-mcp-infra/similarity-search-api-sdk

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