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agent402.tools String Similarity
x402
agent402.tools String Similarity 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 four string similarity metrics at once (Dice, Jaccard, overlap coefficient, normalized length difference) for two input strings
Price / call$0.001
Success—
StatusUnknown
How this service works
Compute multiple similarity metrics between two strings at once: Dice coefficient, Jaccard index, overlap coefficient (all bigram-based), and normalized length difference. All values 0–1. Deterministic, pure CPU.
Output
Returns four numeric scores (each 0–1): Dice coefficient, Jaccard index, overlap coefficient (all bigram-based), and normalized length difference, allowing multi-dimensional comparison of the two input strings.
Example use cases
Example prompt
“Can you compute all the similarity metrics — Dice, Jaccard, overlap coefficient, and length difference — between the strings 'customer service' and 'customer support'?”
Technical details
Endpoint
POSThttps://agent402.tools/api/string-similarityWhen to prefer
Use this endpoint when you need multiple bigram-based string similarity metrics computed in a single call rather than calling separate endpoints. Ideal for fuzzy deduplication, record linkage, typo detection, or any scenario requiring a multi-faceted similarity profile rather than a single distance score.
Side effects
- Missing 'a' or 'b' parameter returns a validation error
- Empty strings may produce edge-case scores (e.g. 0 or undefined similarity)
- Very long strings may increase latency slightly but still process
- Non-UTF-8 or malformed input may result in a 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| a | string | First string |
| b | string | Second string |
Output
Schema · Response
{
"type": "json",
"example": {
"dice": 0.8,
"jaccard": 0.666667,
"overlap": 0.8,
"lengthDiff": 0
}
}Tags
x402
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