Real-Time API to Vehicle Telemetry Data | Global Coverage
DLP Labs
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Verified Data Provider
Verified Data Provider| # | timestamp |
token_id |
currentLocationAltitude |
dimoAftermarketHDOP |
dimoAftermarketNSAT |
lowVoltageBatteryCurrentVoltage |
obdDistanceWithMIL |
obdRunTime |
powertrainCombustionEngineTPS |
powertrainTransmissionTravelledDistance |
powertrainType |
speed |
exteriorAirTemperature |
powertrainCombustionEngineECT |
powertrainCombustionEngineSpeed |
powertrainFuelSystemAbsoluteLevel |
powertrainTractionBatteryStateOfChargeCurrentEnergy |
powertrainTractionBatteryChargingAddedEnergy |
powertrainTractionBatteryStateOfChargeCurrent |
powertrainRange |
powertrainTractionBatteryCurrentPower |
powertrainTractionBatteryChargingIsCharging |
cabinDoorRow1DriverSideIsOpen |
cabinDoorRow1PassengerSideIsOpen |
cabinDoorRow2DriverSideIsOpen |
cabinDoorRow2PassengerSideIsOpen |
chassisAxleRow1WheelLeftTirePressure |
chassisAxleRow1WheelRightTirePressure |
chassisAxleRow2WheelRightTirePressure |
chassisAxleRow2WheelLeftTirePressure |
cabinDoorRow1DriverSideWindowIsOpen |
cabinDoorRow1PassengerSideWindowIsOpen |
cabinDoorRow2PassengerSideWindowIsOpen |
cabinDoorRow2DriverSideWindowIsOpen |
powertrainTractionBatteryChargingChargeLimit |
powertrainFuelSystemRelativeLevel |
obdDTCList |
currentLocationLatitude |
currentLocationLongitude |
source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
| 2 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
| 3 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
| 4 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
| 5 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
| 6 | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
| 7 | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 8 | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx |
| 9 | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx |
| 10 | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx |
| ... | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx |
| # | token_id |
name |
source |
value_number |
value_string |
timestamp |
cloud_event_id |
|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx |
| 2 | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 3 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 4 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
| 5 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
| 6 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx |
| 8 | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 9 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 10 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
| ... | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
Avail. Formats
.csv, .xls, and .sql
File
Coverage
250
Countries
History
5
years
Data Dictionary
[Sample] DIMO Employee Sample Data.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
timestamp
|
DateTime | 2025-03-01T00:00:00+00:00 | |
|
token_id
|
Integer | 117315 | |
|
currentLocationAltitude
|
Float | 961.4 | |
|
dimoAftermarketHDOP
|
Float | 60.0 | |
|
dimoAftermarketNSAT
|
|||
|
lowVoltageBatteryCurrentVoltage
|
|||
|
obdDistanceWithMIL
|
|||
|
obdRunTime
|
|||
|
powertrainCombustionEngineTPS
|
|||
|
powertrainTransmissionTravelledDistance
|
|||
|
powertrainType
|
|||
|
speed
|
|||
|
exteriorAirTemperature
|
|||
|
powertrainCombustionEngineECT
|
|||
|
powertrainCombustionEngineSpeed
|
|||
|
powertrainFuelSystemAbsoluteLevel
|
|||
|
powertrainTractionBatteryStateOfChargeCurrentEnergy
|
|||
|
powertrainTractionBatteryChargingAddedEnergy
|
|||
|
powertrainTractionBatteryStateOfChargeCurrent
|
|||
|
powertrainRange
|
|||
|
powertrainTractionBatteryCurrentPower
|
|||
|
powertrainTractionBatteryChargingIsCharging
|
|||
|
cabinDoorRow1DriverSideIsOpen
|
|||
|
cabinDoorRow1PassengerSideIsOpen
|
|||
|
cabinDoorRow2DriverSideIsOpen
|
|||
|
cabinDoorRow2PassengerSideIsOpen
|
|||
|
chassisAxleRow1WheelLeftTirePressure
|
|||
|
chassisAxleRow1WheelRightTirePressure
|
|||
|
chassisAxleRow2WheelRightTirePressure
|
|||
|
chassisAxleRow2WheelLeftTirePressure
|
|||
|
cabinDoorRow1DriverSideWindowIsOpen
|
|||
|
cabinDoorRow1PassengerSideWindowIsOpen
|
|||
|
cabinDoorRow2PassengerSideWindowIsOpen
|
|||
|
cabinDoorRow2DriverSideWindowIsOpen
|
|||
|
powertrainTractionBatteryChargingChargeLimit
|
|||
|
powertrainFuelSystemRelativeLevel
|
|||
|
obdDTCList
|
|||
|
currentLocationLatitude
|
|||
|
currentLocationLongitude
|
|||
|
source
|
Integer | 1383808743198587167534404816026005922872251325648 |
[Sample] DIMO Employee Sample Data Raw.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
token_id
|
Integer | 118864 | |
|
name
|
String | currentLocationAltitude | |
|
source
|
Integer | 1383808743198587167534404816026005922872251325648 | |
|
value_number
|
Float | 54.3 | |
|
value_string
|
|||
|
timestamp
|
DateTime | 2025-03-19T21:26:52+00:00 | |
|
cloud_event_id
|
String | 2uYUUCJwYQ4NXYPNxgSPMi9V9iV |
Description
We provide real-time, granular vehicle data from a diverse fleet of 150,000+ vehicles, all with 100% informed driver consent. Our data offers actionable insights for industries like energy, insurance, and autonomous vehicles, ensuring accuracy and transparency.
We provide high-quality, real-time vehicle data collected from a fleet of over 150,000 vehicles, offering granular insights into driving behavior, battery health, and charging patterns. All of our data is collected with 100% informed driver consent, ensuring full transparency and compliance with privacy standards. This consent allows us to gather telemetry and identity data through direct connections to the vehicles via APIs or installed hardware, providing accurate, actionable insights for various industries.
Our data stands out for its granularity and real-time nature, which is critical for applications that require precise, up-to-date information. Unlike aggregated data sources, our direct vehicle connections ensure accuracy and help eliminate the need for assumptions, making our dataset ideal for applications in sectors like energy optimization, insurance, and autonomous vehicle development.
For energy companies, our data provides insights into optimal charging locations, battery life cycles, and energy consumption, enabling more efficient management of EV charging infrastructure. In the insurance sector, the data allows for usage-based insurance (UBI) models that personalize premiums based on real-world driving habits, reducing the risk for insurers and incentivizing safer driving. For autonomous vehicle (AV) development, our data helps train AI models by offering real-time insights into driving behavior and environmental factors, enhancing the safety and reliability of AV systems.
Moreover, our platform also enables fleet management, smart city planning, and urban mobility solutions by providing data on traffic patterns, vehicle usage, and congestion points. This helps transportation agencies and departments of transportation make data-driven decisions for public infrastructure improvements and sustainability efforts.
The ability to collect and process data with informed consent ensures that all participants understand how their data is used, maintaining trust and compliance with data privacy regulations. With our direct connections to vehicles and real-time data processing, we provide the most accurate and actionable insights available for industries looking to optimize operations, enhance customer experiences, and drive smarter, more efficient solutions.
Country Coverage
Africa
(58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia
(51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe
(52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America
(13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania
(25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other
(9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America
(42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)
History
5 years of historical data
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Delivery
Methods
S3 Bucket
Frequency
secondly
minutely
Format
.csv
.xls
.sql
Use Cases
Underwriting
Demand Forecasting
Autonomous Driving
Consumer Data Enrichment
Automated Parking Systems
Categories
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Frequently asked questions
What is Real-Time API to Vehicle Telemetry Data Global Coverage?
We provide real-time, granular vehicle data from a diverse fleet of 150,000+ vehicles, all with 100% informed driver consent. Our data offers actionable insights for industries like energy, insurance, and autonomous vehicles, ensuring accuracy and transparency.
What is Real-Time API to Vehicle Telemetry Data Global Coverage used for?
This product has 5 key use cases. DLP Labs recommends using the data for Underwriting, Demand Forecasting, Autonomous Driving, Consumer Data Enrichment, and Automated Parking Systems. Global businesses and organizations buy Vehicle Location Data from DLP Labs to fuel their analytics and enrichment.
Who can use Real-Time API to Vehicle Telemetry Data Global Coverage?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Vehicle Location Data. Get in touch with DLP Labs to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Real-Time API to Vehicle Telemetry Data Global Coverage go?
This product has 5 years of historical coverage. It can be delivered on a secondly and minutely basis.
Which countries does Real-Time API to Vehicle Telemetry Data Global Coverage cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. DLP Labs is headquartered in United States of America.
How much does Real-Time API to Vehicle Telemetry Data Global Coverage cost?
Pricing information for Real-Time API to Vehicle Telemetry Data Global Coverage is available by getting in contact with DLP Labs. Connect with DLP Labs to get a quote and arrange custom pricing models based on your data requirements.
How can I get Real-Time API to Vehicle Telemetry Data Global Coverage?
Businesses can buy Vehicle Location Data from DLP Labs and get the data via S3 Bucket. Depending on your data requirements and subscription budget, DLP Labs can deliver this product in .csv, .xls, and .sql format.
What is the data quality of Real-Time API to Vehicle Telemetry Data Global Coverage?
You can compare and assess the data quality of DLP Labs using Datarade’s data marketplace.
What are similar products to Real-Time API to Vehicle Telemetry Data Global Coverage?
This product has 3 related products. These alternatives include TagX - 10,000+ Car damage images with annotation Car insurance & inspection Global coverage with custom annotations, Global Car Data Real-Time API EV Vehicle Dataset Telematics, Battery Performance, Charging Insights, Car Spec Data, and Electric Vehicle (EV) Data Product Data Car Specs, Equip & Price (Europe) Updated Monthly Competition Benchmark. You can compare the best Vehicle Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.