Compute similarity between two texts
Compute similarity between two texts. Returns Jaccard, Dice, cosine and overlap scores for two strings. Use to deduplicate documents, match names or titles, and detect near-identical text.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
1005 msmedian answer time
$0.002listed price per call
$0.002price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://api.kakerapetit.dev/v1/text/similarity
| Category | Everything else |
|---|---|
| Provider host | api.kakerapetit.dev |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 8 from 4 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.002 | 1005 ms |
Example input (from the provider)
{
"body": {
"text_a": "The quick brown fox jumps over the lazy dog",
"text_b": "A quick brown fox jumped over a lazy dog"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"text_a": {
"description": "First text to compare.",
"type": "string"
},
"text_b": {
"description": "Second text to compare.",
"type": "string"
}
},
"required": [
"text_a",
"text_b"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}