Keyronne Text Similarity & Clustering is a paid API for AI agents from keyronne.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Computes pairwise character n-gram cosine similarity across a batch of 2–300 texts, returning similar pairs above a threshold, connected-component clusters, and a full similarity matrix.
Compute pairwise text similarity, find near-duplicates, and cluster a batch of texts (2–300 items). Character n-gram cosine similarity: language-agnostic, robust to small edits, no model calls. Returns similar pairs above a threshold, connected-component clusters, and the full matrix for small batches. POST a JSON body like: {"texts":["hello world","hello world!","unrelated"],"threshold":0.8}
Returns an object containing: a list of similar pairs (indices and similarity scores above the threshold), connected-component clusters (groups of mutually similar texts), and for small batches the full N×N cosine similarity matrix.
POSThttps://keyronne.com/api/similarityChoose this endpoint when you need fast, language-agnostic similarity computation without invoking an embedding model or LLM. Ideal for deduplication, fuzzy matching, and clustering tasks where character-level similarity (robust to minor edits, typos, and formatting differences) is sufficient. Especially useful for multilingual text or when low latency and deterministic results are required.
| Field | Type | Description |
|---|---|---|
| ngram | integer | Character n-gram size. |
| texts | array | Texts to compare (each up to 20,000 characters). |
| threshold | number | Similarity threshold for pairs and clustering. |
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