> For the complete documentation index, see [llms.txt](https://docs.graphite-note.com/graphite-note-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-v2/body.md).

# Body

The request body should be passed using the -d option in the cURL command. Replace \[data] with the actual JSON-formatted content you want to send for prediction. The structure and required fields depend on the specific model’s configuration. 

The v2 request body uses a simplified, flat JSON structure. Each prediction row is represented as a single object containing direct key-value pairs, where:

* The keys are the exact column names used during model training
* The values are the inputs you want to use for prediction

***

#### v2 Example (Binary Classification / Multiclass Classification / Regression)

```
{
  "data": {
    "predict_values": [
      {
        "Lead ID": "21",
        "Lead Budget": 425.5130025,
        "Lead Source": "3",
        "Demo Request": 1,
        "Past Purchases": 0,
        "Website Visits": 1,
        "Email Open Rate": 49.38937152,
        "Interaction Score": 37.72859652,
        "Sales Rep Response Time": 10.99225024
      }
    ]
  }
}
```

This format is especially useful when exporting data from spreadsheets, CSV files, or databases. It eliminates the need to wrap each value in an alias/selectedValue structure, making it cleaner and easier to use in automated or programmatic scenarios.


---

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