Calibrated Similarity Search API

Stateless NMI + cosine fusion with entropy-driven alpha calibration

Skills

• NMI-Cosine Fused Similarity Ranking
  Ranks a corpus of items against a query vector using a calibrated fusion score (alpha * cosine + (1-alpha) * NMI_normalizado), where alpha is auto-derived from the corpus's marginal entropy unless overridden. Results are identified by their 0-indexed position in corpus_vectors (this tool does not accept explicit item IDs). Requires a valid api_key (same as X-API-Key) and an x402 payment.
  similarity-searchembeddingsnmicosine-similarity
• Corpus Entropy and Calibrated Alpha Estimator
  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. Requires a valid api_key (same as X-API-Key) and an x402 payment.
  entropycalibration
• Single-Pair NMI-Cosine Scorer
  Computes the NMI-cosine fusion score for exactly one (query, target) vector pair at a fixed alpha. Use for explainability, debugging, or unit-level validation of fusion scores before running full corpus ranking. Requires a valid api_key (same as X-API-Key) and an x402 payment.
  similarity-searchdebugging

How to call

https://similarity-search-api-production.up.railway.app

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