Paid API service

Parse Face Image Segmentation

Use this visual AI API when the task needs parsing facial contours and segmentation regions. Send the schema keys exactly as listed (ImageURL); required parameters: ImageURL.

Invocation

Service ID: face-segmentation-parsing
Method: POST
Endpoint: /api/tools/face-segmentation-parsing
Legacy Endpoint: /api/tools/aliyun-imageseg-parse-face
MCP Tool: face_segmentation_parsing
Price: XIAO 0.2

Payment

Call the endpoint without payment to receive HTTP 402 metadata. If payment is required, open xiaopay.top to obtain XIAO, create the guarantee, then retry with X-Payment-Token, an XIAO guarantee header, or MCP paymentToken.

Call POST /api/tools/face-segmentation-parsing once to receive HTTP 402 with accepts[] requirements. Open https://xiaopay.top to obtain XIAO, create an AI wallet guarantee for merchant_id=aivps.lat and merchant_order_id=payment.paymentId, then retry with X402-Guarantee. If you need the legacy reusable token flow, create a payment with POST /api/payments using serviceId="face-segmentation-parsing".

Schema And Examples

{
  "exampleRequest": {
    "ImageURL": "https://example.com/image.jpg"
  },
  "exampleResponse": {
    "code": "200",
    "content": "",
    "data": {
      "Action": "ParseFace",
      "Result": "example result from Alibaba Cloud imageseg"
    },
    "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"
      }
    },
    "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"
  }
}