---
title: "POST /score"
method: POST
path: "/score"
---

# POST /score

`POST /score`

Run web service's model and get the prediction output

## Request body

- ServiceInput
  - `data` object[]
    - `type` number, double, required
    - `amount` number, double, required
    - `oldbalanceOrg` number, double, required
    - `newbalanceOrig` number, double, required
    - `oldbalanceDest` number, double, required
    - `newbalanceDest` number, double, required
    - `hour` number, double, required
    - `dayOfMonth` number, double, required
    - `isMerchantDest` number, double, required
    - `errorBalanceOrig` number, double, required
    - `errorBalanceDest` number, double, required

## Response `200`

The service processed the input correctly and provided a result prediction, if applicable.

- integer[]

## Other responses

- `default` — The service failed to execute due to an error.

---

[API](https://skmtc.dev/azure/apis/ml-service.md) · [All operations](https://skmtc.dev/azure/apis/ml-service/llms.txt) · [OpenAPI document](https://skmtc-service-production.skmtc.workers.dev/v1/apis/azure/ml-service/revisions/e41b655aea46/schema)