Text Similarity + Dedup
Compute pairwise text similarity, find near-duplicates, and cluster a batch of texts (2–300 items). Character n-gram cosine similarity: language-agnostic, robust to small edits, no model calls. Returns similar pairs above a threshold, connected-component clusters, and the full matrix for small batches. POST a JSON body like: {"texts":["hello world","hello world!","unrelated"],"threshold":0.8}
InferenceLiveeip155:8453Exactvia cdp
SimilarityDedupClusteringTextNlp
Settlements · 30d
59↓ 22%
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days.
$2.52
Verified settled volume
915 settlements proven x402 by their on-chain EIP-3009 marker.
$0.0020
Listed price
As published in the catalog. Always read the live 402 before paying.
6
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-07-16 08:36Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0xB86F95EF5FA904318Ea9Df3b59AdCe099b478fC4The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"error": "PAYMENT-SIGNATURE header is required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xB86F95EF5FA904318Ea9Df3b59AdCe099b478fC4",
"amount": "2000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 60
}
],
"resource": {
"url": "https://keyronne.com/api/similarity",
"tags": [
"similarity",
"dedup",
"clustering",
"text",
"nlp"
],
"mimeType": "application/json",
"description": "Compute pairwise text similarity, find near-duplicates, and cluster a batch of texts (2–300 items). Character n-gram cosine similarity: language-agnostic, robust to small edits, no model calls. Returns similar pairs above a threshold, connected-component clusters, and the full matrix for small batches. POST a JSON body like: {\"texts\":[\"hello world\",\"hello world!\",\"unrelated\"],\"threshold\":0.8}",
"serviceName": "Text Similarity + Dedup"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"texts": [
"hello world",
"hello world!",
"unrelated"
],
"threshold": 0.8
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"count": 3,
"pairs": [
{
"a": 0,
"b": 1,
"score": 0.9487
}
],
"clusters": [
[
0,
1
]
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"properties": {
"body": {
"type": "object",
"required": [
"texts"
],
"properties": {
"ngram": {
"type": "integer",
"default": 3,
"maximum": 5,
"minimum": 2,
"description": "Character n-gram size."
},
"texts": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 300,
"minItems": 2,
"description": "Texts to compare (each up to 20,000 characters)."
},
"threshold": {
"type": "number",
"default": 0.8,
"maximum": 1,
"minimum": 0,
"description": "Similarity threshold for pairs and clustering."
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
}
}
},
"output": {
"type": "object",
"properties": {
"count": {
"type": "integer"
},
"pairs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"a": {
"type": "integer"
},
"b": {
"type": "integer"
},
"score": {
"type": "number"
}
}
},
"description": "Pairs with similarity >= threshold, sorted descending."
},
"matrix": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
}
},
"description": "Full similarity matrix (only when count <= 50)."
},
"clusters": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
},
"description": "Groups of indices connected at the threshold."
}
}
}
}
}
}
},
"x402Version": 2
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.002USDC≈ $0.002 USD
on Base · exact scheme
Pay 0.002 USDC on Base to 0xB86F…78fC4. The signed payment is good for 1 minute.
- Paid to
- 0xB86F…78fC4
- USD Coin contract
- 0x8335…02913
- Payment window
- 1 minute
- As published
- 2000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xB86F95EF5FA904318Ea9Df3b59AdCe099b478fC4",
"amount": "2000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 60
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"texts": [
"hello world",
"hello world!",
"unrelated"
],
"threshold": 0.8
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"count": 3,
"pairs": [
{
"a": 0,
"b": 1,
"score": 0.9487
}
],
"clusters": [
[
0,
1
]
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"properties": {
"body": {
"type": "object",
"required": [
"texts"
],
"properties": {
"ngram": {
"type": "integer",
"default": 3,
"maximum": 5,
"minimum": 2,
"description": "Character n-gram size."
},
"texts": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 300,
"minItems": 2,
"description": "Texts to compare (each up to 20,000 characters)."
},
"threshold": {
"type": "number",
"default": 0.8,
"maximum": 1,
"minimum": 0,
"description": "Similarity threshold for pairs and clustering."
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
}
}
},
"output": {
"type": "object",
"properties": {
"count": {
"type": "integer"
},
"pairs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"a": {
"type": "integer"
},
"b": {
"type": "integer"
},
"score": {
"type": "number"
}
}
},
"description": "Pairs with similarity >= threshold, sorted descending."
},
"matrix": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
}
},
"description": "Full similarity matrix (only when count <= 50)."
},
"clusters": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
},
"description": "Groups of indices connected at the threshold."
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-07-16 08:36Z
- Last indexed by Roundhouse
- 2026-08-10 08:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-14 00:15Z
- x402 version
- 2
- Max timeout
- 60s
- Liveness probe
- HTTP 402
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service Text Similarity + Dedup and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Text%20Similarity%20%2B%20Dedup' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://keyronne.com/api/similarity, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.