Profile
The profile contains personal information, as well as performance metrics and vehicle information for gig economy workers.
For formal workers, the profile contains basic information such as first and last name, date of birth and some additional data.
You can access all this information by making a GET to /accounts/:account_id/profile .
profile (empleos formales y gig economy)
Data | Description | Type | Example |
---|---|---|---|
first_name | First Name | string | Jose Carlos |
last_name | Last Name | string | Huerta Garcia |
phone | Telephone | string | 15583490938 |
string | jose@palenca.com | ||
address | Address | string | Calle de la Paz, #5, Col. Centro, C.P. 06060, México, D.F. |
city_name | City | string | Mexico City |
birthday | Birthday | string | 1990-01-01 |
picture_url | Profile picture url | string | URL |
bank_info (gig economy)
Data | Description | Type | Example |
---|---|---|---|
account_number | Account number | string | 6461801921**** |
holder_name | Owner name | string | Jose Carlos Huerta Garcia |
holder_address | Address | string | Calle de la Reforma #123 |
bank_name | Bank name | string | Banco Azteca |
vehicle_info (gig economy)
Data | Description | Type | Example |
---|---|---|---|
type | Vehicle type | string | car |
brand | Vehicle brand | string | Ford |
model | Model | string | Fiesta |
year | Vehicle year | string | 2017 |
license_plate | Plate number | string | ABC123 |
vin | Vehicle VIN | string | 3SCK2AEG8M1006777 |
metrics_info (gig economy)
Data | Description | Type | Example |
---|---|---|---|
acceptance_rate | Acceptance rate | float | 0.97 |
cancellation_rate | Cancellation rate (percentage of trips canceled after being accepted) | float | 0.05 |
rating | Worker rating (the higher the better) | float | 4.91 |
lifetime_trips | Total trips since registering on the platform | int | 17 |
time_since_first_trip | Time since first trip | string | 9 months |
level_name | Level | string | Diamond |
debt_pending | Pending Debt | float | 0.00 |
debt_paid | Paid Debt | float | 0.00 |
activation_status | Activation status | string | active |
ids_info (formal jobs and gig economy)
Data | Description | Type | Example |
---|---|---|---|
type | ID Type | string | social_security_number |
name | ID Name | string | nss |
value | Value | string | 32128929096 |
Data we recover by platform
Employment platforms
DATA | Type | Description | IMSS | ISSSTE |
---|---|---|---|---|
account_id | string | Palenca internal identifier of the worker's account | YES | YES |
address | string | Worker's address. | NO | NO |
birthday | string | Date of birth of the worker in YY-MM-DD format | YES | YES |
city_name | string | Worker's city. | NO | NO |
string | Worker email | NO | NO | |
first_name | string | Name(s) of worker | YES | YES |
last_name | string | Worker's surnames | YES | YES |
telephone | string | Worker's phone | NO | NO |
picture_url | string | URL with the worker's profile image | NO | NO |
Independent worker platforms (gig economy)
DATA | Type | Description | UBER | DIDI | CABIFY | inDriver | 99 Motorista | RAPPI |
---|---|---|---|---|---|---|---|---|
account_id | string | Palenca internal identifier of the worker's account | YES | YES | YES | YES | YES | YES |
address | string | Worker's address. | NO | NO | NO | NO | NO | YES |
birthday | string | Worker's date of birth in YY-MM-DD format | NO | NO | NO | NO | NO | YES |
city_name | string | Worker's city. | NO | YES | NO | YES | YES | YES |
string | Worker email | YES | YES | YES | YES | YES | YES | |
first_name | string | Name(s) of worker | YES | YES | YES | YES | YES | YES |
last_name | string | Worker's surname | YES | YES | YES | YES | YES | YES |
phone | string | Worker's phone | YES | YES | YES | YES | YES | YES |
picture_url | string | URL with the worker's profile image | YES | YES | YES | YES | YES | YES |
acceptance_rate | float | Trip/Order Acceptance Rate | YES | YES | NO | NO | YES | YES |
activation_status | string | Indicates if the worker is active | YES | YES | YES | YES | YES | YES |
cancellation_rate | float | Trip/order cancellation rate | YES | NO | NO | NO | NO | NO |
debt_paid | float | Total debt that the worker has paid to the platform. | NO | NO | NO | NO | NO | YES |
debt_pending | float | Pending debt that the worker has with the platform. | NO | NO | NO | NO | NO | YES |
level_name | string | Name of the level to which the worker belongs | YES | YES | NO | YES | YES | YES |
lifetime_trips | int | Total trips that the worker has made. | YES | YES | NO | YES | YES | NO |
rating | float | Worker rating within the platform | YES | YES | YES | YES | YES | YES |
thumps_up | string | Uber eats metric that refers to the quality of service. | YES | NO | NO | NO | NO | NO |
time_since_first_trip | string | Time elapsed since the first trip. Examples: 2.5 years, 4 months, 2+ years. The logic is {{number}} {{time}}. | YES | YES | NO | NO | YES | NO |
brand | string | Brand of the vehicle used by the worker | YES | YES | NO | YES | YES | NO |
license_plate | string | Indicates the license plates of the vehicle used by the worker. | YES | YES | NO | YES | YES | NO |
model | string | Indicates the model of vehicle used by the worker | YES | YES | NO | NO | YES | NO |
type | string | Indicates the type of vehicle used by the worker. | YES | YES | YES | YES | YES | YES |
vin | string | Serial number of the vehicle used by the worker | YES | YES | NO | YES | YES | NO |
year | string | Year of vehicle used by the worker | YES | YES | YES | YES | YES | YES |