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🇳🇿 NZ AutoGrab API Doc
🇳🇿 NZ AutoGrab API Doc
  • AutoGrab Basics
    • AutoGrab Developer Hub
    • Integration Overview
    • Open API Reference
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  • Authentication
    • Basic Key Based Authentication
    • OAuth Authentication
  • Vehicle Search
    • Vehicle Searching Basics
    • Plain-text Search
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      • Facet Integration Worked Example
    • Marketplace ID Lookup
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  • Sourcing
    • Sourcing Basics
    • Market Overlay
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  • Vehicle Data
    • Vehicle Data Basics
    • Vehicle History
    • Factory Build Data
  • Valuation
    • Valuation Basics
    • Valuation Predictions
      • Adjustments
      • Condition Array
      • Valuation Features
    • Residual Valuations
    • Registration & VIN Valuations
    • Valuation Features
    • Max Offer Configuration
    • AutoGauge
  • Embeddable Products
    • Embeddable Basics
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    • Valuation Widget
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  • Other Products & Resources
    • Pre-Accident Valuation API Suite
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  1. Valuation
  2. Valuation Predictions

Condition Array

Predict all potential values across many conditions for a vehicle.

If you wish to predict valuations at all available conditions of the vehicle. That is those between 1 and 5,with 1 being poor and 5 being excellent condition. You can utilise the conditions in the same way you would use the standard /v2/valuations/predict/ endpoint.

In this endpoint, we will return all available conditions in an array. This can power great user experiences where you may wish to show a large range depending on the condition of the vehicle.

{
    "success": true,
    "prediction": {
        "id": "8b8663c6-fa04-4a77-9f31-fd2fc32cefa9",
        "vehicle_id": "4648873456828416",
        "kms": 30000,
        "price": 15986,
        "score": 0.6676,
        "retail_price": 15986,
        "adjustment": null,
        "conditions": [
            {
                "condition_score": 1,
                "trade_price": 8740.2
            },
            {
                "condition_score": 2,
                "trade_price": 9988.8
            },
            {
                "condition_score": 3,
                "trade_price": 11237.4
            },
            {
                "condition_score": 4,
                "trade_price": 11861.7
            },
            {
                "condition_score": 5,
                "trade_price": 12486
            }
        ]
    }
}
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