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.
2000 (raw units)
price
8
calls / 30d
4
unique payers
2026-09-14
updated
Provider
api.kakerapetit.dev · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0x3a43FdF92B1596B22DDF719d5b528c537Da4237d",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "2000",
"maxTimeoutSeconds": 300
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"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"
},
"output": {
"example": {
"cosine_tf": 0.667,
"dice": 0.667,
"jaccard": 0.5,
"overlap": 0.667
},
"type": "json"
}
},
"schema": {
"$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"
}
}
}Use it
curl
curl "https://api.kakerapetit.dev/v1/text/similarity" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://api.kakerapetit.dev/v1/text/similarity");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://api.kakerapetit.dev/v1/text/similarity")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/3128.json, and this resource appears in /discovery/resources and /discovery/search.