Paid API service

Monitor Examination Face And Body Analysis

Use this visual AI API when the task needs the visual analysis task described by action 检测线上考试场景中的人脸和异常行为。. Send the schema keys exactly as listed (ImageURL, Type); required parameters: ImageURL.

Invocation

Service ID: online-exam-proctoring
Method: POST
Endpoint: /api/tools/online-exam-proctoring
Legacy Endpoint: /api/tools/aliyun-facebody-monitor-examination
MCP Tool: online_exam_proctoring
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/online-exam-proctoring once to receive HTTP 402 with accepts[] requirements, or create a payment with POST /api/payments using serviceId="online-exam-proctoring". 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": "MonitorExamination",
      "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": {
      "ImageURL": {
        "description": "Public http or https image URL accepted by the Alibaba Cloud API.",
        "format": "uri",
        "type": "string"
      },
      "Type": {
        "description": "Alibaba Cloud RPC parameter Type.",
        "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"
  }
}