AI-Based Valuations & Depreciation for UK & Ireland
Brego is a provider of AI-powered vehicle valuations and market intelligence for the UK and Ireland. Its broad coverage spans cars, light commercial vehicles, motorcycles and leisure vehicles, helping businesses value assets that may be poorly served by other valuation guides. For organisations making decisions at scale, that coverage makes Brego valuable wherever a missing valuation would interrupt an otherwise automated journey.
Through One Auto API, businesses can access Brego data alongside services from other vehicle data providers. This supports workflows ranging from motor finance underwriting and online vehicle buying to dealer stock appraisal, retail pricing, motor finance underwriting and insurance claims.
A valuation service is at its most useful when it returns consistently accurate valuations across all the vehicles a business encounters. A finance provider may assess thousands of proposed purchases, including older cars, unusual derivatives and vehicles with limited comparable stock. A buying platform must respond quickly when a customer enters a registration number. In both cases, gaps in coverage can force a manual review, delay decisions and result in increased costs with lower conversion rates.
Brego uses AI and extensive market data to generate valuations across a wide range of assets. Its coverage helps businesses bring more vehicles through an automated process while retaining the option to review cases that need additional judgement. For a lender, a current valuation can help establish whether the proposed finance amount is appropriate for the vehicle. For a buying platform, it can provide the basis for an initial offer or route the vehicle to the right appraisal process.
Brego also provides future value information, which can help lenders set residual values and monitor their risk to asset valuation over the term of a finance agreement. That adds context to decisions about term, deposit requirements and residual value setting. For lenders valuations remain one input within a wider decision that may also include provenance and the customer’s circumstances.
Dealers make numerous value decisions in the course of their business. They need to judge what to offer in part-exchange, how much to pay when acquiring stock and where to position the retail price after preparation. Brego’s retail valuations help connect those decisions to the market.
At acquisition, an accurate view of likely retail value helps a buyer work backwards through preparation costs and required margin to set a sensible purchase price. Once a vehicle is in stock, pricing to market helps a dealer remain competitive without discounting unnecessarily. The objective is to balance stock turn and margin, recognising that vehicles held for longer generate less return on working capital so require additional margin.
For dealers handling varied inventory and part-exchanges, Brego’s breadth of coverage is particularly useful. The ability to assess cars, commercial vehicles, motorcycles and leisure vehicles that may be unfamliar through a trusted valuation provider can support a consistent processes across different parts of the business.
Price alone does not show how readily a vehicle is likely to sell. Brego’s Desirability Score expresses relative retail demand on a scale of 0 to 100. Through One Auto API, users can compare the current score with the previous month’s score to see whether the market for a vehicle appears to be improving or deteriorating.
That trend gives trade buyers another factor to consider before committing to a purchase. A vehicle with improving demand may justify a different buying approach from one facing reducing demand or increased competition. The score can also be considered alongside advert volumes, asking prices and price movements to understand the wider market context.
The expected holding period matters. If a vehicle is likely to take longer to sell, a buyer may need more room between the purchase price and expected retail price to cover funding, preparation and other holding costs. By combining a valuation with desirability and its recent direction, teams can make buying and pricing decisions with a clearer view of the potential margin.
Brego valuations can also help vehicle history report providers give used car buyers price context. Presented alongside checks from other sources, such as Experian vehicle history data, a valuation helps a customer assess both what a car may be worth and whether any recorded issues are reflected in the asking price. Each dataset answers a different question, creating a more useful report when brought together.
In insurance claims, a retail market valuation provides a reference point for assessing a vehicle’s value when considering a total loss and settlement. Claims teams can use that information as part of their overall assessment, alongside the vehicle’s specification, condition and other evidence relevant to the claim.
One Auto API brings Brego valuations and desirability data together with other automotive services through a single integration. Whether you are building an automated lending journey, buying vehicles online or helping a dealer manage stock, Brego data provides a basis for informed decisions across a broad range of vehicles.
| Field Name | Field Type | Example | Definition |
|---|---|---|---|
| 0to100_ | Float | 12.3 | Manufacturer's claimed time (in seconds) for 0 - 100 kilometers per hour. |
| advert_ | Int | 1 | Number of adverts matching the query parameters. |
| average_ | Int | 12 | Average number of days vehicles of this model have been advertised for. |
| average_ | Int | 123 | Average monthly mileage of vehicles of this model advertised within this region. |
| average_ | Float | 0.12 | Average number of keepers per annum for this model. |
| average_ | Int | -123 | Average change to the advertised price for this model within the last 7 days and within this region. |
| average_ | Int | 123 | Average monthly mileage of vehicles from this manufacturer. |
| average_ | Int | 123 | Average monthly miles advertised vehicles of this model have completed. |
| average_ | Int | 123 | Average monthly miles advertised vehicles of this model range have completed. |
| body_ | String | hatchback | The body type description |
| brego_ | String | 0a1bc3d4-ef56-789g-h10i-j111k21l3m14 | The Brego Derivative ID. |
| brego_ | String | MINI COUPE 1.6 Cooper 3dr (October 2011 - May 2015) | The Brego vehicle description. |
| cherished_ | Int | 1 | The cherished data quantity. |
| cherished_ | Date | 2022-01-01 | Plate transfer date. |
| colour | String | RED | Exterior colour of vehicle. |
| count | Int | 123 | Number of vehicles of this colour advertised. |
| currency_ | String | eur | The currency unit. |
| current_ | Int | The current mileage of the vehicle in kms | |
| current_ | Int | 12345 | Current mileage of the vehicle |
| current_ | String | AB21ABC | Current vehicle registration mark. |
| date_ | Date | 2020-01-01 | Date record was last updated |
| date_ | Date | 2022-01-01 | Date of last keeper change. |
| desirability_ | Int | 75 | 0-100 value indicative of retail demand for the vehicle where 0 is low and 100 is high. |
| desirability_ | Int | 71 | 0-100 value indicative of average desirability rating for the past month, which when compared to today's desirability rating allows users to see the trend |
| engine_ | Int | 1499 | Cubic capacity of the engine. |
| error | String | Example error details | Details of what went wrong with the api call |
| first_ | Int | Year of registration | |
| forecast_ | Date | This is the date when the forecasted value is required. | |
| fuel_ | String | The vehicle's fuel type description | |
| is_ | Boolean | true | Vehicle is imported. |
| is_ | Boolean | The vehicle is imported. | |
| is_ | Boolean | true | Has the vehicle been scrapped. |
| keeper_ | Int | 1 | Number of keeper changes. |
| kms_ | Int | The expected annual mileage in kms | |
| manufacturer_ | String | Mini | Manufacturer description |
| max_ | Int | 12345 | Maximum advertised price for this model. |
| max_ | Int | 2 | Maximum number of previous keepers for advertised models. |
| max_ | Int | 12345 | Maximum advertised price for this model. |
| mileage_ | String | km | The mileage unit. |
| miles_ | Int | The expected annual mileage | |
| min_ | Int | 12345 | Minimum advertised price for this model. |
| min_ | Int | Minimum number of previous keepers for advertised models. | |
| min_ | Int | 12345 | Minimum advertised price for this model. |
| model_ | String | Hatch | Model range description. |
| number_ | Int | 3 | Number of cylinders within the engine. |
| number_ | Int | 2 | Number of doors. |
| number_ | Int | 1 | Number of gears. |
| number_ | Int | 1 | Number of previous keepers. |
| power_ | Float | 201.2 | Maximum BHP (Brake Horse Power) of this vehicle. |
| previous_ | Date | 2020-01-01 | The date the previous keeper disposed of the vehicle. |
| previous_ | String | AB21CDE | Previous vehicle registration mark. |
| region | String | national | Region of the country the data applies to. |
| registration_ | Date | 2020-01-01 | Date the vehicle was first registered in the UK. |
| result | String | fail | Has the vehicle passed all lead validation tests. |
| retail_ | Int | 12345 | The suggested retail average valuation including VAT for the specified vehicle. |
| retail_ | Int | 12345 | The suggested retail high valuation including VAT for the specified vehicle . |
| retail_ | Int | 12345 | The suggested retail low valuation including VAT for the specified vehicle. |
| success | Boolean | true | Whether the api call was successful |
| top_ | Int | 103 | Manufacturer's claimed top speed in miles per hour |
| trade_ | Int | 12345 | The suggested trade average valuation including VAT for the specified vehicle. |
| trade_ | Int | 12345 | The suggested trade high valuation including VAT for the specified vehicle. |
| trade_ | Int | 12345 | The suggested trade low valuation including VAT for the specified vehicle. |
| transmission_ | String | The vehicle's transmission type | |
| valuation_ | Date | 2024-05-01 | Allows the user to specify the date for the current/initial valuation (e.g. a historic date) |
| vehicle_ | String | Mini Cooper S | The Vehicle description |
| vehicle_ | String | ABCDE123456F78910 | Vehicle identification number (VIN). |
| vehicle_ | String | Vehicle registration number (VRM). | |
| vehicle_ | String | car | Class of vehicle. |
| version | Date | 2020-01-01 | Date point of the valuation |
| weekly_ | Int | -12 | Maximum advertised price for this model. |
{
"success": true,
"result": {
"valuations": [
{
"retail_low_valuation": 21595,
"retail_average_valuation": 22767,
"retail_high_valuation": 23814,
"trade_low_valuation": 16351,
"trade_average_valuation": 17239,
"trade_high_valuation": 18032,
"current_mileage": 80000,
"version": "2024-05-01"
}
],
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "abcde123fg5678910",
"currency_unit": "eur",
"mileage_unit": "km"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"valuations": [
{
"retail_low_valuation": 21595,
"retail_average_valuation": 22767,
"retail_high_valuation": 22814,
"trade_low_valuation": 16351,
"trade_average_valuation": 17239,
"trade_high_valuation": 18032,
"current_mileage": 80000,
"version": "2024-05-01"
}
],
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "abcde123fg5678910",
"currency_unit": "eur",
"mileage_unit": "km",
"vehicle_desc": "Mini Cooper S",
"vehicle_type": "car"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"valuations": [
{
"retail_low_valuation": 21595,
"retail_average_valuation": 22767,
"retail_high_valuation": 23814,
"trade_low_valuation": 16351,
"trade_average_valuation": 17239,
"trade_high_valuation": 18032,
"current_mileage": 80000,
"version": "2024-05-01"
}
],
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "abcde123fg5678910",
"currency_unit": "eur",
"mileage_unit": "km",
"vehicle_desc": "Mini Cooper S",
"vehicle_type": "car"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"valuations": [
{
"retail_low_valuation": 15453,
"retail_average_valuation": 16611,
"retail_high_valuation": 17826,
"trade_low_valuation": 13235,
"trade_average_valuation": 14227,
"trade_high_valuation": 15267,
"current_mileage": 80000,
"version": "2024-05-01"
}
],
"vehicle_desc": "Mini Cooper S",
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "ABCDE123456F78910",
"currency_unit": "gbp",
"mileage_unit": "mi"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"valuations": [
{
"retail_low_valuation": 15453,
"retail_average_valuation": 16611,
"retail_high_valuation": 17826,
"trade_low_valuation": 13235,
"trade_average_valuation": 14227,
"trade_high_valuation": 15267,
"current_mileage": 80000,
"version": "2024-05-01"
}
],
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "ABCDE123456F78910",
"currency_unit": "gbp",
"mileage_unit": "mi",
"vehicle_desc": "Mini Cooper S",
"vehicle_type": "car"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"retail_low_valuation": 21595,
"retail_average_valuation": 22767,
"retail_high_valuation": 23814,
"trade_low_valuation": 16351,
"trade_average_valuation": 17239,
"trade_high_valuation": 18032,
"current_mileage": 80000,
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"currency_unit": "eur",
"mileage_unit": "km",
"version": "2024-05-01"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"retail_low_valuation": 21595,
"retail_average_valuation": 22767,
"retail_high_valuation": 23814,
"trade_low_valuation": 16351,
"trade_average_valuation": 17239,
"trade_high_valuation": 18032,
"current_mileage": 80000,
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "abcde123fg45678910",
"currency_unit": "eur",
"mileage_unit": "km",
"version": "2024-05-01",
"vehicle_desc": "Mini Cooper S",
"vehicle_type": "car"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"retail_low_valuation": 21595,
"retail_average_valuation": 22767,
"retail_high_valuation": 23814,
"trade_low_valuation": 16351,
"trade_average_valuation": 17239,
"trade_high_valuation": 18032,
"current_mileage": 80000,
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "abcde1234fg5678910",
"currency_unit": "eur",
"mileage_unit": "km",
"version": "2024-05-01",
"vehicle_desc": "Mini Cooper S",
"vehicle_type": "car"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"retail_low_valuation": 22123,
"retail_average_valuation": 23868,
"retail_high_valuation": 25742,
"trade_low_valuation": 19247,
"trade_average_valuation": 20765,
"trade_high_valuation": 22396,
"current_mileage": 20000,
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"currency_unit": "gbp",
"mileage_unit": "mi",
"version": "2024-05-01"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"retail_low_valuation": 22131,
"retail_average_valuation": 23876,
"retail_high_valuation": 25751,
"trade_low_valuation": 19254,
"trade_average_valuation": 20772,
"trade_high_valuation": 22403,
"current_mileage": 20000,
"vehicle_desc": "Mini Cooper S",
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "ABCDE123456F78910",
"currency_unit": "gbp",
"mileage_unit": "mi",
"version": "2020-01-01"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"retail_low_valuation": 22131,
"retail_average_valuation": 23875,
"retail_high_valuation": 25751,
"trade_low_valuation": 19254,
"trade_average_valuation": 20772,
"trade_high_valuation": 22403,
"current_mileage": 20000,
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_identification_number": "ABCDE123456F78910",
"currency_unit": "gbp",
"mileage_unit": "mi",
"version": "2024-05-01",
"vehicle_desc": "Mini Cooper S",
"vehicle_type": "car"
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"vehicle_desc": "Mini Cooper S",
"registration_date": "2020-01-01",
"vehicle_identification_number": "ABCDE123456F78910",
"vehicle_registration_mark": "AB21ABC",
"colour": "RED",
"first_registration_year": 2020,
"is_scrapped": true,
"is_imported": true,
"is_imported_NI": true,
"keeper_changes_qty": 1,
"keeper_data_items": [
{
"date_of_last_keeper_change": "2020-01-01",
"previous_keeper_disposal_date": "2020-01-01",
"number_previous_keepers": 1
}
],
"cherished_data_qty": 1,
"cherished_data_items": [
{
"cherished_plate_transfer_date": "2022-01-01",
"current_vehicle_registration_mark": "AB21ABC",
"previous_vehicle_registration_mark": "AB21CDE"
}
]
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"regions": [
{
"region": "national",
"average_advert_days": 30,
"average_advert_miles_per_month": 702,
"average_advert_price_change": -123,
"average_manufacturer_miles_per_month": 466,
"average_model_range_miles_per_month": 702,
"average_model_miles_per_month": 702,
"min_advert_price": 20291,
"max_advert_price": 20291,
"min_advert_mileage": 51351,
"max_advert_mileage": 51351,
"weekly_advert_qty_change": -50,
"advert_qty": 32,
"average_advert_owners_per_annum": 0.28,
"min_advert_previous_owners": 0,
"max_advert_previous_owners": 2,
"advert_vehicle_colours": [
{
"count": 32,
"colour": "Black"
}
],
"vehicle_desc": "Mini Cooper S",
"desirability_rating": 75,
"desirability_rating_last_month": 71
}
]
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"regions": [
{
"region": "national",
"average_advert_days": 30,
"average_advert_miles_per_month": 702,
"average_advert_price_change": -123,
"average_manufacturer_miles_per_month": 466,
"average_model_range_miles_per_month": 702,
"average_model_miles_per_month": 702,
"min_advert_price": 20291,
"max_advert_price": 20291,
"min_advert_mileage": 51351,
"max_advert_mileage": 51351,
"weekly_advert_qty_change": -50,
"advert_qty": 32,
"average_advert_owners_per_annum": 0.28,
"min_advert_previous_owners": 0,
"max_advert_previous_owners": 2,
"advert_vehicle_colours": [
{
"count": 32,
"colour": "Black"
}
],
"vehicle_desc": "Mini Cooper S",
"desirability_rating": 75,
"desirability_rating_last_month": 71
}
]
},
"error": "If there is an error the message would go here"
}{
"success": true,
"result": {
"search_results": [
{
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"brego_vehicle_description": "MINI COUPE 1.6 Cooper 3dr (October 2011 - May 2015)"
}
],
"error": "If there is an error the message would go here"
}
}{
"success": true,
"result": {
"search_results": [
{
"brego_derivative_id": "0a1bc3d4-ef56-789g-h10i-j111k21l3m14",
"brego_vehicle_description": "MINI COUPE 1.6 Cooper 3dr (October 2011 - May 2015)"
}
],
"error": "If there is an error the message would go here"
}
}AI vehicle valuations, depreciation forecasts and market desirability for the UK and Ireland, available alongside other data sources in a single API integration.
AI provides the basis for accurate valuation of vehicles with less market evidence, enabling Brego to produce accurate valuations where other valuation guides may struggle.
Yes, a single API response provides a series of monthly valuations for the term of a forecast, allowing lenders and other finance related apps to model depreciation and equity over time - compared to a single point in time forecast typically provided by other data providers.
Cars, commercials, motorcycles and leisure vehicles - including motorhomes, and caravans. Where vehicles are not registered with the DVLA, or where DVLA records lack definition Brego offers a free text based search that can be used to identify the correct model before valuing based on a Derivative ID.
Brego provides highly accurate retail values with inferred trade values. Their AI-based valuation model allows them to excel in coverage of asset classes, older and low volume vehicles (such as supercars).
AI vehicle valuations, depreciation forecasts and market desirability for the UK and Ireland, available alongside other data sources in a single API integration.
AI provides the basis for accurate valuation of vehicles with less market evidence, enabling Brego to produce accurate valuations where other valuation guides may struggle.
Yes, a single API response provides a series of monthly valuations for the term of a forecast, allowing lenders and other finance related apps to model depreciation and equity over time - compared to a single point in time forecast typically provided by other data providers.
Cars, commercials, motorcycles and leisure vehicles - including motorhomes, and caravans. Where vehicles are not registered with the DVLA, or where DVLA records lack definition Brego offers a free text based search that can be used to identify the correct model before valuing based on a Derivative ID.
Brego provides highly accurate retail values with inferred trade values. Their AI-based valuation model allows them to excel in coverage of asset classes, older and low volume vehicles (such as supercars).
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