Profile

Definition

The profile of a gig economy account contains basic personal information as well as some performance metrics that can complement your workflows.

You can access the profile of an account via the GET profile endpoint .

Profile Information for Gig Economy Accounts

Let's begin with a representative example of the profile information you could recover from our GET Profile Endpoint:

{
  "success": true,
  "error": null,
  "data": {
    "account_id": "ed37701d-fe4f-4f1f-861a-58ba4a364918",
    "external_id": "c38543d2-04c6-4c8d-8bca-a649416e0cbd",
    "profile": {
      "first_name": "Ricardo Esteban",
      "last_name": "Ruiz Moreno",
      "email": "[email protected]",
      "birthday": "1998-05-22",
      "phone": "5528593132",
      "address": "",
      "city_name": "Ciudad de México",
      "picture_url": ""
    },
    "ids_info": [
      {
        "type": "national",
        "name": "curp",
        "value": "RIAB980522HDFZNR02"
      }
    ],
    "bank_info": null,
    "vehicle_info": {
      "type": "motorcycle",
      "brand": null,
      "model": null,
      "year": null,
      "license_plate": null,
      "vin": null
    },
    "metrics_info": {
      "acceptance_rate": 1,
      "cancellation_rate": null,
      "thumps_up": null,
      "rating": 4.9,
      "lifetime_trips": 1444,
      "time_since_first_trip": null,
      "level_name": "diamond",
      "debt_pending": 0,
      "debt_paid": 600,
      "activation_status": "activated"
    }
  }
}

Let's dive into a data dictionary for each section.

Profile Section

Data	Description	Type	Example
first_name	First Name	string	Jose Carlos
last_name	Last Name	string	Huerta Garcia
email	Email	string	[email protected]
birthday	Birthday	string	1990-01-01
phone	Telephone	string	15583490938
address	Address	string	Calle de la Paz, #5, Col. Centro, C.P. 06060, México, D.F.
city_name	City	string	Mexico City
picture_url	Profile picture url	string	https://www.example.com/

⚠️ All fields are nullable.

Bank Information

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

⚠️ All fields are nullable.

Vehicle Information

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

⚠️ All fields are nullable.

Metrics Information

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

⚠️ All fields are nullable.

IDs Info Section

Data	Description	Type	Example
type	ID Type	string	national
name	ID Name	string	CURP
value	Value	string	RIAB980522HDFZNR02

⚠️ All fields are nullable.

Data we recover by platform

Data	Type	Description	Uber	Didi	Cabify	InDrive	99	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
email	string	Worker's 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
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.	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

📘
Disclaimer
Our dependency on external integrations prevents us from guaranteeing our clients the recovery of any of the previous fields during our Income Verification processes.

Definition

Profile Information for Gig Economy Accounts

Profile Section

Bank Information

Vehicle Information

Metrics Information

IDs Info Section

Data we recover by platform

📘Disclaimer

📘
Disclaimer