For the complete documentation index, see llms.txt. This page is also available as Markdown.

Valuation Features

Generate upper and lower bounds on each valuation.

Valuation Bounds

If you require the upper and lower bounds used to calculate a prediction you can use features=bounds.

This will yield the bounds on the retail and trade prices.

/v2/valuations/registrations/BMT038?features=bounds

{
    "success": true,
    "prediction": {
        "id": "e2813b16-1012-41b5-9ea3-3b65675c50fd",
        "vehicle_id": "5804870883868672",
        "kms": 57306,
        "price": 20622,
        "score": 0.9239,
        "retail_price": 20622,
        "trade_price": 17122,
        "adjustment": null
    },
    "bounds": {
        "retail": {
            "lower": 19622,
            "upper": 21872
        },
        "trade": {
            "lower": 16122,
            "upper": 18372
        }
    }
}

Max Offer Adjustments

If you have a max offer profile setup via API or via the AutoGrab web app you can opt to receive the same results via API. Use features=max_offer to receive them in your response.

/v2/valuations/predict?features=max_offer

If you want to set or update your Max Offer configuration over API view the guide here.

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