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Jaccard Similarity Calculator (Bigram/Word)
x402
Jaccard Similarity Calculator (Bigram/Word) is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Computes the Jaccard similarity coefficient between two strings using character bigrams or word tokens, returning a score from 0 (no overlap) to 1 (identical sets).
Price / call$0.001
Success—
StatusUnknown
How this service works
Compute the Jaccard similarity coefficient between two strings using character bigrams or word tokens. Returns the ratio of intersection to union (0 = no overlap, 1 = identical sets). Deterministic, pure CPU.
Output
A numeric Jaccard similarity coefficient between 0.0 and 1.0, where 0 means no shared tokens/bigrams and 1 means the two strings are identical in their token/bigram sets.
Example use cases
Example prompt
“What's the Jaccard similarity between 'machine learning algorithms' and 'deep learning algorithms' using word tokens?”
Technical details
Endpoint
POSThttps://agent402.tools/api/jaccard-similarityWhen to prefer
Use this endpoint when you need a fast, deterministic, interpretable set-overlap similarity metric between two strings, especially when you want to choose between character-level (bigram) and word-level tokenization. Prefer over cosine/embedding similarity when you need a reproducible CPU-only computation with no ML model dependency and a clear mathematical definition.
Side effects
- Missing required fields 'a' or 'b' — returns error
- Invalid 'mode' value not in ['bigram','word'] — returns validation error
- Empty strings may yield a score of 0 or undefined behavior
- Payment failure via x402 protocol if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| a | string | First string |
| b | string | Second string |
| mode | string | Tokenization mode: "bigram" (character bigrams) or "word" (whitespace-delimited tokens). Default: "word". |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "bigram",
"union": 7,
"similarity": 0.142857,
"intersection": 1
}
}Tags
x402
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