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agent402.tools Text Similarity
x402
agent402.tools Text 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 Jaccard similarity, overlap coefficient, and Sorensen-Dice coefficient between two texts at the word level, returning similarity scores and word overlap statistics.
Price / call$0.001
Success—
StatusUnknown
How this service works
Compute Jaccard similarity, overlap coefficient, and Sorensen-Dice coefficient between two texts at the word level. Returns similarity scores (0-1) plus shared and unique word counts.
Output
Returns three similarity scores (Jaccard, overlap coefficient, Sorensen-Dice), each ranging from 0 to 1, along with counts of shared words and words unique to each text.
Example use cases
Example prompt
“Can you tell me how similar these two texts are — 'The quick brown fox jumps over the lazy dog' and 'The fast brown fox leaps over the sleepy dog' — and give me the Jaccard, overlap, and Dice similarity scores?”
Technical details
Endpoint
POSThttps://agent402.tools/api/text-similarityWhen to prefer
Use this endpoint when you need fast, word-level lexical similarity metrics between two texts without needing semantic or embedding-based similarity. Ideal for deduplication checks, near-duplicate detection, or simple content comparison tasks where vocabulary overlap is the primary signal.
Side effects
- Missing 'a' or 'b' field returns a 400 error
- Empty strings may produce undefined or zero scores
- Very long texts may increase latency
- Payment failure (402) if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| a | string | First text |
| b | string | Second text |
Output
Schema · Response
{
"type": "json",
"example": {
"shared": [
"the",
"brown",
"fox",
"over",
"lazy"
],
"jaccard": 0.55,
"overlap": 0.75,
"uniqueA": [
"quick",
"jumps",
"dog"
],
"uniqueB": [
"fast",
"leaps",
"cat"
],
"sorensen": 0.71,
"sharedCount": 5,
"totalUnique": 11
}
}Tags
x402
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