1datapipe | B2C Intent Data | Brazil | 223M Verified National Profiles for KYC, Fraud, and Risk Modeling
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Verified Data Provider
Verified Data Provider|
national_id
|
id_type
|
address
|
address.latitude
|
address.longitude
|
lifestyle.location.dist
|
lifestyle.location.latitude
|
lifestyle.location.longitude
|
lifestyle.arts
|
lifestyle.arts.museum_and_theater_goers
|
lifestyle.arts.photo_and_video_enthusiasts
|
lifestyle.entertainment
|
lifestyle.entertainment.games_adventure
|
lifestyle.entertainment.games_arcade
|
lifestyle.entertainment.games_board
|
lifestyle.entertainment.games_card
|
lifestyle.entertainment.games_casino
|
lifestyle.entertainment.games_casual
|
lifestyle.entertainment.games_dice
|
lifestyle.entertainment.games_family
|
lifestyle.entertainment.games_music_and_rhythm
|
lifestyle.entertainment.games_puzzle
|
lifestyle.entertainment.games_racing_and_vehicle_simulators
|
lifestyle.entertainment.games_role_playing_games
|
lifestyle.entertainment.games_shooters_and_fps
|
lifestyle.entertainment.games_simulation
|
lifestyle.entertainment.games_sports
|
lifestyle.entertainment.games_strategy
|
lifestyle.entertainment.games_trivia
|
lifestyle.entertainment.games_word
|
lifestyle.food_and_drink
|
lifestyle.food_and_drink.foodies_or_cooking_enthusiasts
|
lifestyle.food_and_drink.restaurant_frequenters
|
lifestyle.health_and_fitness
|
lifestyle.health_and_fitness.fitness_enthusiasts
|
lifestyle.health_and_fitness.gym_goers
|
lifestyle.health_and_fitness.runners_or_joggers
|
lifestyle.interests_and_activities
|
lifestyle.interests_and_activities.country_club_members
|
lifestyle.interests_and_activities.gamers
|
lifestyle.interests_and_activities.movie_goers
|
lifestyle.interests_and_activities.news_readers
|
lifestyle.interests_and_activities.reading_enthusiasts
|
lifestyle.retail
|
lifestyle.retail.beauty_and_health_buyers
|
lifestyle.retail.big_box_retailer_shoppers
|
lifestyle.retail.cpg_buyers
|
lifestyle.retail.consumer_electronics_buyers
|
lifestyle.retail.department_store_value_shoppers
|
lifestyle.retail.fashion_shoppers_or_fashion_followers
|
lifestyle.retail.hotel_visitors
|
lifestyle.retail.sports_and_outdoor_buyers
|
lifestyle.retail.upscale_shoppers
|
lifestyle.retail.young_and_hip_shoppers
|
lifestyle.sports
|
lifestyle.sports.golf_enthusiasts
|
lifestyle.sports.soccer_enthusiasts
|
lifestyle.sports.sports_enthusiasts
|
lifestyle.telecommunication
|
lifestyle.telecommunication.downloaders
|
lifestyle.telecommunication.dual_sim_phone_users
|
lifestyle.travel
|
lifestyle.travel.air_travelers
|
lifestyle.travel.business_travelers
|
lifestyle.travel.leisure_travelers
|
lifestyle.life_stages
|
lifestyle.life_stages.singles
|
lifestyle.life_stages.college_students
|
lifestyle.general_demographics
|
lifestyle.general_demographics.55+
|
lifestyle.general_demographics.male
|
lifestyle.general_demographics.18-24
|
lifestyle.general_demographics.25-34
|
lifestyle.general_demographics.35-44
|
lifestyle.general_demographics.45-54
|
lifestyle.general_demographics.female
|
lifestyle.general_demographics.low_income
|
lifestyle.general_demographics.high_income
|
lifestyle.general_demographics.young_mothers
|
lifestyle.general_demographics.average_income
|
lifestyle.general_demographics.millennial_males
|
lifestyle.general_demographics.families_with_kids
|
lifestyle.general_demographics.millennial_females
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx |
| Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx |
| Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx |
| Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx |
| Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
Volume
223M
RECORDS
Avail. Format
.csv
File
Coverage
1
Country
History
12
months
Data Dictionary
[Sample] 1datapipe Geo Sample 10 Br
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
national_id
|
Integer | 24777834015 | |
|
id_type
|
String | CPF | |
|
address
|
String | Recanto de Ribeiro, 12 Pastor, SP 21832-051 | |
|
address.latitude
|
Float | -47.810111 | |
|
address.longitude
|
Float | 131.60751 | |
|
lifestyle.location.dist
|
Float | 34.26 | |
|
lifestyle.location.latitude
|
Float | -47.81 | |
|
lifestyle.location.longitude
|
Float | 131.608 | |
|
lifestyle.arts
|
Float | 0.98 | |
|
lifestyle.arts.museum_and_theater_goers
|
Float | 0.03 | |
|
lifestyle.arts.photo_and_video_enthusiasts
|
Float | 0.14 | |
|
lifestyle.entertainment
|
Float | 0.41 | |
|
lifestyle.entertainment.games_adventure
|
Float | 0.37 | |
|
lifestyle.entertainment.games_arcade
|
Float | 0.97 | |
|
lifestyle.entertainment.games_board
|
Float | 0.49 | |
|
lifestyle.entertainment.games_card
|
Float | 0.4 | |
|
lifestyle.entertainment.games_casino
|
Float | 0.39 | |
|
lifestyle.entertainment.games_casual
|
Float | 0.92 | |
|
lifestyle.entertainment.games_dice
|
Float | 0.26 | |
|
lifestyle.entertainment.games_family
|
Float | 0.43 | |
|
lifestyle.entertainment.games_music_and_rhythm
|
Float | 0.86 | |
|
lifestyle.entertainment.games_puzzle
|
Float | 0.44 | |
|
lifestyle.entertainment.games_racing_and_vehicle_simulators
|
Float | 0.55 | |
|
lifestyle.entertainment.games_role_playing_games
|
Float | 0.82 | |
|
lifestyle.entertainment.games_shooters_and_fps
|
Float | 0.52 | |
|
lifestyle.entertainment.games_simulation
|
Float | 0.53 | |
|
lifestyle.entertainment.games_sports
|
Float | 0.28 | |
|
lifestyle.entertainment.games_strategy
|
Float | 0.27 | |
|
lifestyle.entertainment.games_trivia
|
Float | 0.95 | |
|
lifestyle.entertainment.games_word
|
Float | 0.5 | |
|
lifestyle.food_and_drink
|
Float | 0.02 | |
|
lifestyle.food_and_drink.foodies_or_cooking_enthusiasts
|
Float | 0.96 | |
|
lifestyle.food_and_drink.restaurant_frequenters
|
Float | 0.03 | |
|
lifestyle.health_and_fitness
|
Float | 0.71 | |
|
lifestyle.health_and_fitness.fitness_enthusiasts
|
Float | 0.64 | |
|
lifestyle.health_and_fitness.gym_goers
|
Float | 0.31 | |
|
lifestyle.health_and_fitness.runners_or_joggers
|
Float | 0.58 | |
|
lifestyle.interests_and_activities
|
Float | 0.56 | |
|
lifestyle.interests_and_activities.country_club_members
|
Float | 0.86 | |
|
lifestyle.interests_and_activities.gamers
|
Float | 0.78 | |
|
lifestyle.interests_and_activities.movie_goers
|
Float | 0.5 | |
|
lifestyle.interests_and_activities.news_readers
|
Float | 0.21 | |
|
lifestyle.interests_and_activities.reading_enthusiasts
|
Float | 0.63 | |
|
lifestyle.retail
|
Float | 0.13 | |
|
lifestyle.retail.beauty_and_health_buyers
|
Float | 0.5 | |
|
lifestyle.retail.big_box_retailer_shoppers
|
Float | 0.42 | |
|
lifestyle.retail.cpg_buyers
|
Float | 0.36 | |
|
lifestyle.retail.consumer_electronics_buyers
|
Float | 0.74 | |
|
lifestyle.retail.department_store_value_shoppers
|
Float | 0.31 | |
|
lifestyle.retail.fashion_shoppers_or_fashion_followers
|
Float | 0.27 | |
|
lifestyle.retail.hotel_visitors
|
Float | 0.62 | |
|
lifestyle.retail.sports_and_outdoor_buyers
|
Float | 0.2 | |
|
lifestyle.retail.upscale_shoppers
|
Float | 0.3 | |
|
lifestyle.retail.young_and_hip_shoppers
|
Float | 0.17 | |
|
lifestyle.sports
|
Float | 0.69 | |
|
lifestyle.sports.golf_enthusiasts
|
Float | 0.29 | |
|
lifestyle.sports.soccer_enthusiasts
|
Float | 0.81 | |
|
lifestyle.sports.sports_enthusiasts
|
Float | 0.08 | |
|
lifestyle.telecommunication
|
Float | 0.06 | |
|
lifestyle.telecommunication.downloaders
|
Float | 0.81 | |
|
lifestyle.telecommunication.dual_sim_phone_users
|
Float | 0.76 | |
|
lifestyle.travel
|
Float | 0.85 | |
|
lifestyle.travel.air_travelers
|
Float | 0.04 | |
|
lifestyle.travel.business_travelers
|
Float | 0.76 | |
|
lifestyle.travel.leisure_travelers
|
Float | 0.99 | |
|
lifestyle.life_stages
|
Float | 0.41 | |
|
lifestyle.life_stages.singles
|
Float | 0.17 | |
|
lifestyle.life_stages.college_students
|
Float | 0.38 | |
|
lifestyle.general_demographics
|
Float | 0.86 | |
|
lifestyle.general_demographics.55+
|
Float | 0.89 | |
|
lifestyle.general_demographics.male
|
Float | 0.81 | |
|
lifestyle.general_demographics.18-24
|
Float | 0.11 | |
|
lifestyle.general_demographics.25-34
|
Float | 0.27 | |
|
lifestyle.general_demographics.35-44
|
Float | 0.09 | |
|
lifestyle.general_demographics.45-54
|
Float | 0.54 | |
|
lifestyle.general_demographics.female
|
Float | 0.43 | |
|
lifestyle.general_demographics.low_income
|
Float | 0.77 | |
|
lifestyle.general_demographics.high_income
|
Float | 0.8 | |
|
lifestyle.general_demographics.young_mothers
|
Float | 0.93 | |
|
lifestyle.general_demographics.average_income
|
Float | 0.91 | |
|
lifestyle.general_demographics.millennial_males
|
Float | 0.25 | |
|
lifestyle.general_demographics.families_with_kids
|
Float | 0.63 | |
|
lifestyle.general_demographics.millennial_females
|
Float | 0.23 |
Description
223M privacy-first verified Brazilian profiles for KYC, fraud detection, and AI risk modeling.
Living Identity™ Brazil provides 223M verified national profiles, covering 97% of Brazil's adult population. Updated monthly and fully LGPD-compliant, this dataset is built for digital onboarding, KYC/AML automation, and AI-powered credit and fraud modeling in Brazil’s high-risk, thin-file environments. Every profile is tied to core national attributes (ID, name, DOB, address, phone, email) and cross-verified through telecom, financial, and commercial records. Delivered as structured, AI-ready data for high-trust decisioning.
➤ Optimized For:
・Real-time digital onboarding with verified high-coverage identity data
・KYC/AML automation aligned with LGPD and regional frameworks
・Thin-file scoring and cross-border credit modeling
・Synthetic fraud detection and account takeover prevention
・AI model training for segmentation, risk, and fraud analytics
・Inclusive identity verification for superapps, payments, and remittance ecosystems
➤ Designed For:
Banks, Fintechs & Credit Bureaus:
Enable onboarding and credit decisioning with high-integrity identity data
Fraud & Identity Verification Platforms:
Detect synthetic IDs and prevent account takeovers at population scale
Risk & Compliance Teams:
Automate KYC/AML with compliant, telecom-verified inputs
AI & ML Labs:
Train ground-truth models with high-accuracy, structured variables
Digital Ecosystems & Superapps:
Resolve and verify users at scale in low-data environments
Delivered by 1datapipe®, the global leader in structured identity and lifestyle intelligence.
Pricing and additional samples available upon request.
Country Coverage
South America
(1)
Brazil
History
12 months of historical data
Volume
| 223 million | RECORDS |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License |
$5,000 / month |
| Yearly License | Not available |
| Usage-based | Not available |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Delivery
Methods
SFTP
REST API
Frequency
monthly
Format
.csv
Use Cases
Market Research
Location-based Audience Analytics
Customer Intelligence
Marketing Intelligence
Know Your Customer (KYC)
Categories
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Frequently asked questions
What is 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
223M privacy-first verified Brazilian profiles for KYC, fraud detection, and AI risk modeling.
What is 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling used for?
This product has 5 key use cases. 1datapipe recommends using the data for Market Research, Location-based Audience Analytics, Customer Intelligence, Marketing Intelligence, and Know Your Customer (KYC). Global businesses and organizations buy Consumer Marketing Data from 1datapipe to fuel their analytics and enrichment.
Who can use 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
This product is best suited if you’re a Enterprise looking for Consumer Marketing Data. Get in touch with 1datapipe to see what their data can do for your business and find out which integrations they provide.
How far back does the data in 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling cover?
This product includes data covering 1 country like Brazil. 1datapipe is headquartered in United States of America.
How much does 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling cost?
Pricing for 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling starts at USD5,000 per month. Connect with 1datapipe to get a quote and arrange custom pricing models based on your data requirements.
How can I get 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
Businesses can buy Consumer Marketing Data from 1datapipe and get the data via SFTP and REST API. Depending on your data requirements and subscription budget, 1datapipe can deliver this product in .csv format.
What is the data quality of 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
You can compare and assess the data quality of 1datapipe using Datarade’s data marketplace.
What are similar products to 1datapipe B2C Intent Data Brazil 223M Verified National Profiles for KYC, Fraud, and Risk Modeling?
This product has 3 related products. These alternatives include 1datapipe Identity & Lifestyle Data Indonesia 208M Dataset Complete Insights, Consumer Marketing Data, Audience Targeting Data- B2C Consumer Audience Builder USA - Identity Graph Data, and GeoPersona Brand Segments US Segmentation Data Available Globally GDPR-Compliant. You can compare the best Consumer Marketing Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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