Invocation
- Service ID
face-database-create-entity- Method
POST- Endpoint
/api/tools/face-database-create-entity- Legacy Endpoint
/api/tools/aliyun-facebody-add-face-entity- MCP Tool
face_database_create_entity- Price
- XIAO 0.2
Paid API service
Use this visual AI API when the task needs the visual analysis task described by action 在人脸数据库中创建实体。. Send the schema keys exactly as listed (DbName, EntityId, Labels); required parameters: DbName, EntityId.
face-database-create-entityPOST/api/tools/face-database-create-entity/api/tools/aliyun-facebody-add-face-entityface_database_create_entityCall 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-database-create-entity 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-database-create-entity".
{
"exampleRequest": {
"DbName": "example-face-db",
"EntityId": "example-entity-id"
},
"exampleResponse": {
"code": "200",
"content": "",
"data": {
"Action": "AddFaceEntity",
"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": {
"DbName": {
"description": "Alibaba Cloud face database or template identifier.",
"type": "string"
},
"EntityId": {
"description": "Alibaba Cloud face database or template identifier.",
"type": "string"
},
"Labels": {
"description": "Alibaba Cloud RPC parameter Labels.",
"type": "string"
}
},
"required": [
"DbName",
"EntityId"
],
"type": "object"
},
"outputSchema": {
"properties": {
"code": {
"type": "string"
},
"content": {
"type": "string"
},
"data": {
"type": "object"
},
"message": {
"type": "string"
},
"requestId": {
"type": "string"
}
},
"required": [
"requestId",
"data"
],
"type": "object"
}
}