48
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ai.kagurazaka.dev via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
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Trust score
48/100
grade D · 3 of 9 criteria apply
Uptime
not graded
catalogue listing · no agent card to probe
Observed inflow · 30d
not yet measured
wallet declared · scan pending
Invocations · 7d
0
no calls observed
Listing drift · 7d
stable
1 snapshot tracked
Owner
unverified
claim this listing →
Dispute or improve this rating
D
Conformance score: 48/100
Catalogue listing, not an A2A agent: a paid API listed by agentic.market. Scored on the 3 criteria that apply (19 of 40 points, scaled to 100); the A2A card criteria do not apply.
click to expand breakdown
click to collapse breakdown
D
Conformance score: 48/100
Catalogue listing, not an A2A agent: a paid API listed by agentic.market. Scored on the 3 criteria that apply (19 of 40 points, scaled to 100); the A2A card criteria do not apply.
n/a
Agent card
n/a
Not applicable: a paid API listed by agentic.market. The host serves no A2A agent card at /.well-known/agent-card.json, so the card criteria are not scored.
partial
Live endpoint
10/25
The host publishes a payment manifest; we have not yet observed a live 402 challenge.
n/a
Protocol version
n/a
Not applicable: no A2A agent card served.
n/a
JWS signature
n/a
Not applicable: no A2A agent card served.
n/a
Uptime track record
n/a
Not applicable: our probes looked for an A2A agent card, which this host does not serve. That says nothing about the API's availability, so it is not graded.
n/a
Skill declaration
n/a
Not applicable: no A2A agent card served.
partial
Verified Identity
5/10
Provider declared: ai.kagurazaka.dev (https://ai.kagurazaka.dev). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs
pass
Freshness + modern flags
4/5
seen in upstream source within 0d
n/a
Security declaration
n/a
Not applicable: no A2A agent card served.
Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Listing history
1 snapshot Every change to the catalogue entry| Captured | Hash | Snapshot |
|---|---|---|
| 2026-10-25 13:16:20 current | 5f8c6b667c51… |
view → |
Uptime
not graded
catalogue listing · no agent card to probe
Response
—
last direct probe
Skills
0
declared
Streaming
—
SSE-capable
Endpoints
| Endpoint | Price | Currency |
|---|---|---|
https://ai.kagurazaka.dev/v1/ocr
|
— | |
https://ai.kagurazaka.dev/v1/labels
|
— | |
https://ai.kagurazaka.dev/v1/image-text
|
— | |
https://ai.kagurazaka.dev/v1/moderation
|
— | |
https://ai.kagurazaka.dev/v1/faces
|
— | |
https://ai.kagurazaka.dev/v1/language
|
— | |
https://ai.kagurazaka.dev/v1/sentiment
|
— | |
https://ai.kagurazaka.dev/v1/entities
|
— | |
https://ai.kagurazaka.dev/v1/key-phrases
|
— | |
https://ai.kagurazaka.dev/v1/pii
|
— | |
https://ai.kagurazaka.dev/v1/translate
|
— | |
https://ai.kagurazaka.dev/v1/speech
|
— |
Try it ↗
Opens the operator's playground / docs in a new tab.
Settlement wallet:
0xe6f7508ab572a4dc9c7486ea017b100d83f3c3f8 on Base
· basescan ↗
Listed by facilitators
Coinbase CDP · 12
Observed on-chain inflow
verified on-chain
Last 7d
$9.66
298 transfers · synced 2026-10-25
USDC inflows on Base. Reproducible via eth_getLogs on USDC Transfer events to the wallet. Inflow to a wallet, not proof that every transfer was a paid call.
How the last 30 days were settled
x402-settled: $0.01 (0%)
· 4 transfers sent by a known x402 facilitator (Coinbase)
Other: $0.00 plain transfers sent by the payer · $8.90 other contract calls · 92% of $9.66 classified so far.
How we classify
Payment authenticity
evidence confidence
How we measure this →
concentrated_payers
3/5
Payer identities observed; volume is concentrated in a small number of payers.
Assessed window
30d
3 active of 15 observed
Inflow assessed
$9.66
298 transactions
Payer identities
available
2 evidence caveats
shared_settlement_wallet —
The settlement wallet is shared with other indexed agents, so inflow cannot be attributed to this agent alone.
Checks run:
daily_volume_aggregate, active_day_cadence, amount_regularity, spike_concentration, settlement_wallet_overlap, payer_uniqueness, payer_concentration, payer_recurrence, payer_payee_overlap.
Derived from agent_revenue_daily, agents.payment_wallet, agent_payment_transactions.
Measured 2026-10-26.
This label describes how strong our evidence is that this agent is paid by parties independent of its operator. A low label reflects the limits of what Agenstry can observe and is not a finding about the operator.
Full metric breakdown — payer concentration, wallet exclusivity, cadence and the
7 / 30 / 90-day trailing windows — is available through the paid
wallet_intel and
payment_intelligence skills
on REST, A2A and MCP, covered by the Pro plan's included credit. API docs →
| Agent card | https://ai.kagurazaka.dev |
| Provider | https://ai.kagurazaka.dev |
| Docs | https://ai.kagurazaka.dev |
Discovered via
agentic_market
recrawl_paid
Health · last 1 probes
Embed your Agenstry badge
Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.
Markdown / HTML snippets
[](https://agenstry.com/agents/ai.kagurazaka.dev) [](https://agenstry.com/agents/ai.kagurazaka.dev) [](https://agenstry.com/agents/ai.kagurazaka.dev) [](https://agenstry.com/agents/ai.kagurazaka.dev)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"_source": "agentic.market",
"service": {
"id": "ai-kagurazaka-dev",
"name": "ai.kagurazaka.dev",
"description": "",
"domain": "ai.kagurazaka.dev",
"provider": "ai.kagurazaka.dev",
"providerUrl": "",
"category": "",
"networks": [
"Base"
],
"enriched": false,
"endpoints": [
{
"url": "https://ai.kagurazaka.dev/v1/entities",
"description": "Finds named entities (person, location, organization, commercial item, event, date, quantity, title, other) in a text with Amazon Comprehend, with their offsets and scores. Supports en, es, fr, de, it, pt, ar, hi, ja, ko, zh, zh-TW; the language is detected when not given.",
"pricing": {
"amount": "0.008",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "text",
"type": "string",
"description": "",
"example": "The new phone from Acme arrived in Tokyo on Monday, and the battery life is fantastic.",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"named entity recognition",
"ner",
"nlp",
"extraction"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/faces",
"description": "Finds up to 100 faces in a JPEG or PNG at a URL with Amazon Rekognition and describes each: position, estimated age range, emotions, smile, glasses, beard, eyes and mouth open, pose and image quality. It does not identify anyone or compare faces.",
"pricing": {
"amount": "0.003",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "url",
"type": "string",
"description": "",
"example": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"face detection",
"emotion",
"image",
"vision"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/image-text",
"description": "Detects words and lines of text in a photo or screenshot (JPEG or PNG at a URL) with Amazon Rekognition, up to 100 words. Suited to signs, product labels and UI text; for documents use /v1/ocr.",
"pricing": {
"amount": "0.003",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "url",
"type": "string",
"description": "",
"example": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"ocr",
"scene text",
"image",
"vision"
],
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/key-phrases",
"description": "Extracts the key noun phrases of a text with Amazon Comprehend, with their offsets and scores. Supports en, es, fr, de, it, pt, ar, hi, ja, ko, zh, zh-TW; the language is detected when not given.",
"pricing": {
"amount": "0.008",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "text",
"type": "string",
"description": "",
"example": "The new phone from Acme arrived in Tokyo on Monday, and the battery life is fantastic.",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"keyword extraction",
"key phrases",
"nlp",
"summarization"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/labels",
"description": "Detects objects, scenes, activities and concepts in a JPEG or PNG at a URL with Amazon Rekognition. Returns labels with confidence, their categories and parent labels, and how many instances were located.",
"pricing": {
"amount": "0.003",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "max_labels",
"type": "number",
"description": "",
"example": 10,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "url",
"type": "string",
"description": "",
"example": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"image recognition",
"labels",
"object detection",
"vision"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/language",
"description": "Detects the dominant language of a text (over 100 languages) with Amazon Comprehend, from its first 1000 characters. Returns the most likely language codes with scores.",
"pricing": {
"amount": "0.002",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "text",
"type": "string",
"description": "",
"example": "\u3053\u308c\u306f\u30c6\u30b9\u30c8\u3067\u3059\u3002",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"language detection",
"nlp",
"text"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/moderation",
"description": "Detects explicit, suggestive, violent, drug, hate and other unsafe content in a JPEG or PNG at a URL with Amazon Rekognition. Returns safe (no label at or above min_confidence) and the labels found.",
"pricing": {
"amount": "0.003",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "url",
"type": "string",
"description": "",
"example": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"content moderation",
"nsfw",
"safety",
"image"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/ocr",
"description": "Reads printed and handwritten text from a JPEG, PNG, TIFF or single-page PDF at a URL with Amazon Textract. Returns the full text and every line with its confidence and position.",
"pricing": {
"amount": "0.005",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "url",
"type": "string",
"description": "",
"example": "https://raw.githubusercontent.com/tesseract-ocr/test/main/testing/phototest.tif",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"ocr",
"text extraction",
"document",
"pdf",
"handwriting"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/pii",
"description": "Finds personally identifiable information (names, addresses, emails, phone numbers, credit card and bank numbers, SSNs, passwords, IP addresses and more) in English or Spanish text with Amazon Comprehend. Returns each entity's type, offsets and score, and the text with each one replaced by [TYPE].",
"pricing": {
"amount": "0.008",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "text",
"type": "string",
"description": "",
"example": "Call John Smith at 555-0100 or email john@example.com.",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"pii",
"redaction",
"privacy",
"compliance",
"nlp"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/sentiment",
"description": "Classifies the sentiment of a text with Amazon Comprehend and returns the score of each class. Supports en, es, fr, de, it, pt, ar, hi, ja, ko, zh, zh-TW; the language is detected when not given.",
"pricing": {
"amount": "0.008",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "text",
"type": "string",
"description": "",
"example": "The new phone from Acme arrived in Tokyo on Monday, and the battery life is fantastic.",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"sentiment analysis",
"nlp",
"text",
"reviews"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/speech",
"description": "Turns text into speech with Amazon Polly and returns a signed URL of the audio, valid for an hour. Up to 3000 characters with standard voices or 1000 with neural ones. Voices include Joanna, Matthew (English), Mizuki, Takumi (Japanese), Lucia (Spanish), Lea (French), Vicki (German) and about 60 more.",
"pricing": {
"amount": "0.02",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "text",
"type": "string",
"description": "",
"example": "Your order has shipped and will arrive tomorrow.",
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "voice",
"type": "string",
"description": "",
"example": "Joanna",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"text to speech",
"tts",
"voice",
"audio"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://ai.kagurazaka.dev/v1/translate",
"description": "Translates up to 1500 characters with Amazon Translate between any of its 75 languages, detecting the source language when not given. Optional formal or informal tone for the languages that support it.",
"pricing": {
"amount": "0.03",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "target",
"type": "string",
"description": "",
"example": "ja",
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "text",
"type": "string",
"description": "",
"example": "Where is the nearest train station?",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "x402 AI Tools",
"tags": [
"translation",
"translate",
"language",
"localization"
],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
}
],
"integrationType": "",
"isNew": false,
"priceSummary": {
"minAmount": "0.002",
"maxAmount": "0.03",
"avgCostPerTransaction": "0.008417",
"avgCostBasis": "exact",
"currency": "USDC"
},
"serviceName": "x402 AI Tools",
"tags": [
"audio",
"compliance",
"content moderation",
"document",
"emotion",
"extraction",
"face detection",
"handwriting",
"image recognition",
"image",
"key phrases",
"keyword extraction",
"labels",
"language detection",
"language",
"localization",
"named entity recognition",
"ner",
"nlp",
"nsfw"
],
"iconUrl": "",
"_truncated": {
"tags": 39
},
"_digest": {
"tags": "12b484143f7ecb87dbc1b46acc310ff9fce1759b7a2fa7cf05491eae010084e8"
}
}
}