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
- XIAO 0.2
Paid API service
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.
fingerprint-extractionPOST/api/tools/fingerprint-extraction/api/tools/aliyun-facebody-extract-finger-printfingerprint_extractionCall 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/fingerprint-extraction 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="fingerprint-extraction".
{
"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"
}
}