Paid API service

Detect Kitchen Animals Object Detection

Use this visual AI API when the task needs comparing two images to detect kitchen animal targets. Send the schema keys exactly as listed (ImageURLA, ImageURLB); required parameters: ImageURLA, ImageURLB.

Invocation

Service ID: kitchen-animal-detection
Method: POST
Endpoint: /api/tools/kitchen-animal-detection
Legacy Endpoint: /api/tools/aliyun-objectdet-detect-kitchen-animals
MCP Tool: kitchen_animal_detection
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="kitchen-animal-detection", then pass the returned token in X-Payment-Token or MCP paymentToken.

Schema And Examples

{
  "exampleRequest": {
    "ImageURLA": "https://example.com/image.jpg",
    "ImageURLB": "https://example.com/image.jpg"
  },
  "exampleResponse": {
    "code": "200",
    "content": "",
    "data": {
      "Action": "DetectKitchenAnimals",
      "Result": "example result from Alibaba Cloud objectdet"
    },
    "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": {
      "ImageURLA": {
        "description": "Public http or https image URL for one side of a paired-image request.",
        "format": "uri",
        "type": "string"
      },
      "ImageURLB": {
        "description": "Public http or https image URL for one side of a paired-image request.",
        "format": "uri",
        "type": "string"
      }
    },
    "required": [
      "ImageURLA",
      "ImageURLB"
    ],
    "type": "object"
  },
  "outputSchema": {
    "properties": {
      "code": {
        "type": "string"
      },
      "content": {
        "type": "string"
      },
      "data": {
        "type": "object"
      },
      "message": {
        "type": "string"
      },
      "requestId": {
        "type": "string"
      }
    },
    "required": [
      "requestId",
      "data"
    ],
    "type": "object"
  }
}