Predict item classes

POST

https://api.mpc.dev.placewise.com/v1/ml/receipt/predict_item_classes

API Permit:ML:Receipt:DetectFraud:Post

API Context:Loyalty Club

Authorizations:UserToken

Classify each item from receipt as one of:

1 - food
2 - clothes, sports
3 - footwear, shoes, boots
4 - bags, jewellery, accessories
5 - household items, furniture, engineering, gardening, outdoors, pets
6 - health, pharmaceuticals, beauty, cosmetics
7 - electronics, computers
8 - culture, books, stationery, paper, drawing supplies
9 - children, toys, games
10 - other

Body Parameters

Parameter	Type	Required?	Description
items	list[string]	yes	Names of items
store_name	string	no, default ""

Example

When successful, returns:

{
    'predictions': [1, 8, 1]
}

Request

Header Params

Body Params multipart/form-data

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Ruby

curl --location --request POST 'https://api.mpc.dev.placewise.com/v1/ml/receipt/predict_item_classes' \
--header 'X-User-Agent;' \
--header 'X-Product-Name;' \
--header 'X-Loyalty-Club-Slug;' \
--header 'X-Customer;' \
--header 'Authorization: Bearer ' \
--header 'X-Client-Authorization: ' \
--form 'items=""' \
--form 'store_name="tesco ireland"'

Responses

🟢200Success

application/json

Body

Example

{
    "predictions": 0
}

Detect receipt fraud

Generate Image

Predict item classes

Body Parameters#

Example#

Request

Request Code Samples

Responses

Body Parameters

Example