Paid API service

Extract Finger Print Face And Body Analysis

Use this visual AI API when the task needs the visual analysis task described by action 从图片或图像数据中提取指纹信息。. Send the schema keys exactly as listed (ImageData, ImageURL); required parameters: ImageURL.

Invocation

Service ID: fingerprint-extraction
Method: POST
Endpoint: /api/tools/fingerprint-extraction
Legacy Endpoint: /api/tools/aliyun-facebody-extract-finger-print
MCP Tool: fingerprint_extraction
Price: USD 0.20

Payment

Call the endpoint without payment to receive HTTP 402 metadata. After payment is complete, retry with X-Payment-Token, an x402 payment signature, or MCP paymentToken.

Call POST /api/tools/fingerprint-extraction once to receive HTTP 402 with accepts[] requirements, or create a payment with POST /api/payments using serviceId="fingerprint-extraction". Pay Base USDC with PAYMENT-SIGNATURE or pay XIAO with X402-Guarantee, then retry the same request.

Schema And Examples

{
  "exampleRequest": {
    "ImageURL": "https://example.com/image.jpg"
  },
  "exampleResponse": {
    "code": "200",
    "content": "",
    "data": {
      "Action": "ExtractFingerPrint",
      "Result": "example result from Alibaba Cloud facebody"
    },
    "message": "success",
    "requestId": "example-request-id"
  },
  "inputSchema": {
    "description": "Use Alibaba Cloud RPC parameter names exactly, for example ImageURL, ImageUrl, Url, URL, JobId, or Tasks depending on the service.",
    "properties": {
      "ImageData": {
        "description": "Alibaba Cloud RPC parameter ImageData.",
        "type": "string"
      },
      "ImageURL": {
        "description": "Public http or https image URL accepted by the Alibaba Cloud API.",
        "format": "uri",
        "type": "string"
      }
    },
    "required": [
      "ImageURL"
    ],
    "type": "object"
  },
  "outputSchema": {
    "properties": {
      "code": {
        "type": "string"
      },
      "content": {
        "type": "string"
      },
      "data": {
        "type": "object"
      },
      "message": {
        "type": "string"
      },
      "requestId": {
        "type": "string"
      }
    },
    "required": [
      "requestId",
      "data"
    ],
    "type": "object"
  }
}