Opah Labs | Company financial & Insurance data Services | B2B2C & Operates Globally | 800K Total Records w/ Weekly Updates | 18
# | id |
email_address |
second_name |
language |
deleted |
created_by_user_id |
updated_by_user_id |
created_at |
updated_at |
password_hash |
password_salt |
village |
voter_id |
avatar_file_name |
avatar_content_type |
avatar_file_size |
avatar_updated_at |
country_id |
role_id |
company_id |
account_id |
district |
income_source |
gender |
shopkeeper |
newpin |
subdistrict |
registar |
loan |
reg_status |
reg_by |
reg_agent_id |
sc |
status |
location |
constituency |
birth_year |
account_type |
name |
balance |
debit |
credit |
transaction_type |
user_id |
phone_number |
counter_user_id |
counter_phone_number |
counter_account_id |
gid |
||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx |
2 | 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 |
3 | 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 |
4 | 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 |
5 | 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 |
6 | 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 |
7 | 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 |
8 | 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 |
9 | 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 |
10 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 900000001 | |
email_address
|
String | ||
String | Contact Last Name | ||
String | Contact First Name | ||
second_name
|
String | REDACTED | |
language
|
String | English | |
deleted
|
Integer | 1 | |
created_by_user_id
|
Integer | 900000001 | |
updated_by_user_id
|
Integer | 980190962 | |
created_at
|
DateTime | 2012-05-06T12:49:42+00:00 | |
updated_at
|
DateTime | 2013-03-04T16:54:00+00:00 | |
password_hash
|
String | REDACTED | |
password_salt
|
String | $2a$10$KWWg6WqcLRS/MZFj9GD0mO | |
village
|
String | REDACTED | |
voter_id
|
String | demo | |
avatar_file_name
|
String | missing.png.gif | |
avatar_content_type
|
String | image/gif | |
avatar_file_size
|
Integer | 390 | |
avatar_updated_at
|
DateTime | 2013-03-04T16:53:59+00:00 | |
country_id
|
Integer | 1 | |
role_id
|
Integer | 1 | |
company_id
|
Integer | 1 | |
account_id
|
Integer | 7000001 | |
district
|
String | REDACTED | |
income_source
|
String | demo | |
gender
|
String | ||
shopkeeper
|
Boolean | t | |
newpin
|
Integer | 1 | |
subdistrict
|
String | REDACTED | |
registar
|
Integer | 1 | |
loan
|
Integer | 0 | |
reg_status
|
|||
reg_by
|
String | SMTZ00000096 | |
reg_agent_id
|
String | SMUG00000005 | |
sc
|
Integer | 1 | |
status
|
Integer | 1 | |
location
|
String | REDACTED | |
constituency
|
String | CTR | |
birth_year
|
String | REDACTED | |
account_type
|
String | SM ACCOUNT | |
name
|
String | REDACTED | |
balance
|
Integer | 1051070 | |
debit
|
Integer | 0 | |
credit
|
Integer | 160000 | |
transaction_type
|
String | cashin-credit | |
user_id
|
Integer | 980191075 | |
phone_number
|
String | ||
counter_user_id
|
Integer | 980190962 | |
counter_phone_number
|
String | REDACTED | |
counter_account_id
|
Integer | 8000612 | |
gid
|
Integer | 890000000 |
Description
Geography
History
Volume
884,000 | Records |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18?
Opah 18 provides global company insurance data services, specializing in user-centric solutions. They operate globally and offer digital banking, seamless customer onboarding, and streamlined payment systems.
What is Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18 used for?
This product has 5 key use cases. Opah Labs recommends using the data for Financial Services, Insurance, Global, Digital Payment, and B2B2C. Global businesses and organizations buy B2C Contact Data from Opah Labs to fuel their analytics and enrichment.
Who can use Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18?
This product is best suited if you’re a Medium-sized Business looking for B2C Contact Data. Get in touch with Opah 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 Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18 go?
This Data Feed has 10 years of historical coverage. It can be delivered on a weekly and monthly basis.
Which countries does Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18 cover?
This product includes data covering 2 countries like Tanzania and Uganda. Opah Labs is headquartered in United States of America.
How much does Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18 cost?
Pricing information for Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18 is available by getting in contact with Opah Labs. Connect with Opah Labs to get a quote and arrange custom pricing models based on your data requirements.
How can I get Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18?
Businesses can buy B2C Contact Data from Opah Labs and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Opah Labs can deliver this product in .json, .csv, and .xls format.
What is the data quality of Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18?
Opah Labs has reported that this product has the following quality and accuracy assurances: 100% Match Rate. You can compare and assess the data quality of Opah Labs using Datarade’s data marketplace.
What are similar products to Opah Labs Company financial & Insurance data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18?
This Data Feed has 3 related products. These alternatives include Opah Labs Company financial Data Services B2B2C & Operates Globally 800K Total Records w/ Weekly Updates 18, Forager.ai - Company Funding Data 61M Company Data Records Refreshed 2x/Mo 60M Updates/Mo Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery, and Factori US Person Data APIs 240M+ profiles:40+ attributes . You can compare the best B2C Contact Data providers and products via Datarade’s data marketplace and get the right data for your use case.