VIN Decode

Full reference for the decode_vin_neovin tool — decode any 17-character VIN to get comprehensive vehicle specifications, MSRP, installed options, features, and more.

Decode a Vehicle Identification Number (VIN) to retrieve comprehensive vehicle specifications using the NeoVIN decoder. This provides richer data than standard VIN decoders — including trim-level details, installed options, factory pricing, and feature lists.

Overview

Property	Value
Tool name	`decode_vin_neovin`
Required	VIN (17 characters)
API endpoint	`GET /v2/decode/car/neovin/{vin}/specs`
Data quality	Includes trim, options, MSRP — beyond standard VIN decoders

Parameters

Parameter	Type	Default	Required	Description
`vin`	string	—	Yes	17-character Vehicle Identification Number
`include_generic`	bool	`false`	No	Include generic vehicle data in the response

Response Data

The decoded response covers the full vehicle profile:

Category	Fields Included
Identity	Year, make, model, trim, version
Engine	Engine type, displacement, cylinders, block, aspiration, horsepower, torque
Transmission	Type, number of speeds
Drivetrain	AWD, FWD, RWD, 4WD
Dimensions	Overall height, length, width, wheelbase
Weight	Curb weight, GVWR
Fuel Economy	City MPG, highway MPG, combined MPG
Pricing	Base MSRP, destination charge
Installed Options	Factory-installed packages and features for this specific VIN
Available Options	Optional packages offered for the trim level
Colors	Standard and available interior/exterior colors
Seating	Standard seating capacity
Powertrain	Classification (BEV, HEV, PHEV, Combustion, etc.)
Confidence	Data confidence ratings for decoded fields

Use Cases

Decode a VIN for full specs

decode_vin_neovin(
  vin="WDDGF8AB0DR298788"
)

Include generic vehicle data

decode_vin_neovin(
  vin="WDDGF8AB0DR298788",
  include_generic=true
)

Common Workflow

VIN decoding is typically the first step in vehicle research. Use the decoded specs to inform subsequent searches and valuations:

Decode VIN — decode_vin_neovin(vin=...) to confirm all specs, trim, options, and MSRP
Predict price — predict_price_with_comparables(vin=..., miles=...) for market valuation
Check history — get_car_history(vin=...) for past listing data
Find comparables — search_active_cars(make=..., model=..., trim=..., year=...) using exact values from the decode