Evidence row 451499

What was observed

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      "x402",
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    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/faces"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/image-text"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/key-phrases"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/labels"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/language"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/moderation"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/ocr"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/pii"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/sentiment"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/speech"
    ],
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/translate"
    ]
  ],
  "name": "ai.kagurazaka.dev",
  "owner_address": null,
  "raw": {
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      "eip155:8453"
    ],
    "category": "",
    "description": "",
    "domain": "ai.kagurazaka.dev",
    "endpoints": [
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        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
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            "group": "body",
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            "required": false,
            "type": "string"
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        ],
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        },
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          "ner",
          "nlp",
          "extraction"
        ],
        "url": "https://ai.kagurazaka.dev/v1/entities"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg",
            "group": "body",
            "name": "url",
            "required": false,
            "type": "string"
          }
        ],
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        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "face detection",
          "emotion",
          "image",
          "vision"
        ],
        "url": "https://ai.kagurazaka.dev/v1/faces"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg",
            "group": "body",
            "name": "url",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.003",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
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        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "4",
          "l30DaysUniquePayers": "3"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "ocr",
          "scene text",
          "image",
          "vision"
        ],
        "url": "https://ai.kagurazaka.dev/v1/image-text"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "The new phone from Acme arrived in Tokyo on Monday, and the battery life is fantastic.",
            "group": "body",
            "name": "text",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
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          "currency": "USDC",
          "maxAmount": "",
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          "network": "eip155:8453",
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        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "keyword extraction",
          "key phrases",
          "nlp",
          "summarization"
        ],
        "url": "https://ai.kagurazaka.dev/v1/key-phrases"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": 10,
            "group": "body",
            "name": "max_labels",
            "required": false,
            "type": "number"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg",
            "group": "body",
            "name": "url",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.003",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "image recognition",
          "labels",
          "object detection",
          "vision"
        ],
        "url": "https://ai.kagurazaka.dev/v1/labels"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "これはテストです。",
            "group": "body",
            "name": "text",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.002",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "language detection",
          "nlp",
          "text"
        ],
        "url": "https://ai.kagurazaka.dev/v1/language"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg",
            "group": "body",
            "name": "url",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.003",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "content moderation",
          "nsfw",
          "safety",
          "image"
        ],
        "url": "https://ai.kagurazaka.dev/v1/moderation"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "https://raw.githubusercontent.com/tesseract-ocr/test/main/testing/phototest.tif",
            "group": "body",
            "name": "url",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.005",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "ocr",
          "text extraction",
          "document",
          "pdf",
          "handwriting"
        ],
        "url": "https://ai.kagurazaka.dev/v1/ocr"
      },
      {
        "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].",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "Call John Smith at 555-0100 or email john@example.com.",
            "group": "body",
            "name": "text",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.008",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "pii",
          "redaction",
          "privacy",
          "compliance",
          "nlp"
        ],
        "url": "https://ai.kagurazaka.dev/v1/pii"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "The new phone from Acme arrived in Tokyo on Monday, and the battery life is fantastic.",
            "group": "body",
            "name": "text",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.008",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "sentiment analysis",
          "nlp",
          "text",
          "reviews"
        ],
        "url": "https://ai.kagurazaka.dev/v1/sentiment"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "Your order has shipped and will arrive tomorrow.",
            "group": "body",
            "name": "text",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "Joanna",
            "group": "body",
            "name": "voice",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
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          "network": "eip155:8453",
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        },
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        "quality": {
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        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "text to speech",
          "tts",
          "voice",
          "audio"
        ],
        "url": "https://ai.kagurazaka.dev/v1/speech"
      },
      {
        "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.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "ja",
            "group": "body",
            "name": "target",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "Where is the nearest train station?",
            "group": "body",
            "name": "text",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.03",
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          "minAmount": "",
          "network": "eip155:8453",
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        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        },
        "serviceName": "x402 AI Tools",
        "tags": [
          "translation",
          "translate",
          "language",
          "localization"
        ],
        "url": "https://ai.kagurazaka.dev/v1/translate"
      }
    ],
    "enriched": false,
    "iconUrl": "",
    "id": "ai-kagurazaka-dev",
    "integrationType": "",
    "isNew": false,
    "name": "ai.kagurazaka.dev",
    "networks": [
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    ],
    "priceSummary": {
      "avgCostBasis": "exact",
      "avgCostPerTransaction": "0.008417",
      "currency": "USDC",
      "maxAmount": "0.03",
      "minAmount": "0.002"
    },
    "provider": "ai.kagurazaka.dev",
    "providerUrl": "",
    "serviceName": "x402 AI Tools",
    "tags": [
      "named entity recognition",
      "ner",
      "nlp",
      "extraction",
      "face detection",
      "emotion",
      "image",
      "vision",
      "ocr",
      "scene text",
      "keyword extraction",
      "key phrases",
      "summarization",
      "image recognition",
      "labels",
      "object detection",
      "language detection",
      "text",
      "content moderation",
      "nsfw",
      "safety",
      "text extraction",
      "document",
      "pdf",
      "handwriting",
      "pii",
      "redaction",
      "privacy",
      "compliance",
      "sentiment analysis",
      "reviews",
      "text to speech",
      "tts",
      "voice",
      "audio",
      "translation",
      "translate",
      "language",
      "localization"
    ]
  },
  "source": "agentic_market",
  "summary": ""
}

What the leaf hashes

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Proof

Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.