Server402 marketplace

Paid API service

Retouch Skin Face And Body Analysis

Use this visual AI API when the task needs the visual analysis task described by action 对人像皮肤进行美肤和美白处理。. Send the schema keys exactly as listed (ImageURL, RetouchDegree, WhiteningDegree); required parameters: ImageURL.

Invocation

Service ID
skin-retouching
Method
POST
Endpoint
/api/tools/skin-retouching
Legacy Endpoint
/api/tools/aliyun-facebody-retouch-skin
MCP Tool
skin_retouching
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.

Create a payment with POST /api/payments using serviceId="skin-retouching", then pass the returned token in X-Payment-Token or MCP paymentToken.

Schema And Examples

{
  "exampleRequest": {
    "ImageURL": "https://example.com/image.jpg"
  },
  "exampleResponse": {
    "code": "200",
    "content": "",
    "data": {
      "Action": "RetouchSkin",
      "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"
      },
      "RetouchDegree": {
        "description": "Alibaba Cloud RPC parameter RetouchDegree.",
        "type": "number"
      },
      "WhiteningDegree": {
        "description": "Alibaba Cloud RPC parameter WhiteningDegree.",
        "type": "number"
      }
    },
    "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"
  }
}