Response Enum
This document outlines the structure and meaning of the JSON response from the Identity Verification API
Analysis Result
The unico.result
field represents the final outcome of the fraud analysis. This is the main value you should use to make a decision.
JSON Structure Overview
The main components of the JSON response are:
document
: Contains the extracted information and analysis of the identification document.selfie
: Contains the analysis of the user's selfie.face_match
: A boolean indicating if the face in the selfie matches the face on the document.curp
: Provides details and validation of the user's CURP.unico
: Internal process identifier.label
: A summary classification of the verification result.reason
: An array of strings explaining thelabel
.request_id
: A unique identifier for the API request.
1. Root Level Fields
These fields provide the final summary and identifiers for the verification request.
face_match
Boolean
Indicates whether the face from the selfie successfully matches the face on the document. true
if they match.
label
String
A field reserved for results from specific sub-processes; null if not applicable.
reason
Array
An array of strings detailing the reasons for the assigned label
.
request_id
String
A unique identifier for this specific API request.
2. document
Object
document
ObjectThis object encapsulates all data extracted and analyzed from the user's identification document.
details
Object
Contains metadata about the document processing.
front
Object
Contains all information extracted from the front of the document.
back
Object
Contains all information extracted from the back of the document.
2.1. document.details
document.details
detected
Boolean
Indicates if a document was successfully detected in the image.
forensics
Object
Contains results from forensic analysis of the document.
document_id
Integer
A unique identifier for the processed document.
2.1.1. document.details.forensics
is_valid
String
The result of the forensic analysis to determine the document's authenticity.
Possible values: inconclusive
, no
, yes
.
2.2. document.front
document.front
This object contains the information extracted from the front of the ID and the facial analysis results for the document photo.
information
Object
A collection of all textual data extracted from the document's front side.
face_analysis
Object
Results from the analysis of the face photo found on the document.
2.2.1. document.front.information
Each field in this object contains a text
value (the extracted string) and a valid
boolean.
birthdate
User's date of birth.
sex
User's sex/gender.
registration_year
Year the document was registered.
name
User's first name(s).
mother_last_name
User's maternal last name.
last_name
User's paternal last name.
electoral_key
The electoral key from the document.
curp
The CURP extracted from the document.
address
The user's address.
complete_name
The user's full name.
valid_thru
The document's expiration year.
2.2.2. document.front.face_analysis
This object contains the analysis of the face found on the ID document.
face_id
Integer
A unique identifier for this specific face instance.
first_seen
String
Timestamp of the first time this face was ever seen in the system.
unique_face_id_v2
Integer
A persistent and unique identifier for this physical face across all inquiries (version 2).
face_id_v2
Integer
Another unique identifier for the face instance (version 2).
inquiry_date
String
Timestamp of the current verification inquiry.
last_seen
String
Timestamp of the most recent time this face was seen anywhere in the network.
last_seen_by_your_company
String
Timestamp of the most recent time this face was seen in an inquiry by your company.
match
Boolean
Indicates if this face is a potential match with other faces in the database.
match_fraud_flag
Boolean
Indicates if this face has been associated with fraudulent activity.
seen_by_your_company
Boolean
Indicates if this face has been previously seen in an inquiry by your company.
seen_different_companies
Integer
The number of other companies in the network that have seen this face.
times_seen_by_your_company
Integer
The total number of times this face has been seen in inquiries by your company.
times_seen_last_month
Integer
The number of times this face has been seen in the last month across the network.
warnings
Object
Contains specific warnings related to the face analysis.
warnings.external_id
String
A warning message indicating that the user's face is associated with multiple different external IDs.
2.3. document.back
document.back
This object contains information extracted from the Machine-Readable Zone (MRZ) on the back of the document.
mrz
String
The full Machine-Readable Zone string.
cic
String
The "CIC" number extracted from the MRZ.
citizen_id
String
The citizen identification number from the MRZ.
3. selfie
Object
selfie
ObjectThis object contains the analysis results for the user's submitted selfie image. Its structure is very similar to document.front.face_analysis
.
face_id
Integer
A unique identifier for this specific selfie instance.
first_seen
String
Timestamp of the first time this selfie's face was ever seen in the system.
unique_face_id_v2
Integer
A persistent and unique identifier for this physical face across all inquiries (version 2).
face_id_v2
Integer
Another unique identifier for the face instance (version 2).
inquiry_date
String
Timestamp of the current verification inquiry.
last_seen
String
Timestamp of the most recent time this face was seen anywhere in the network.
last_seen_by_your_company
String
Timestamp of the most recent time this face was seen in an inquiry by your company.
match
Boolean
Indicates if this face is a potential match with other faces in the database.
match_fraud_flag
Boolean
Indicates if this face has been associated with fraudulent activity.
seen_by_your_company
Boolean
Indicates if this face has been previously seen in an inquiry by your company.
seen_different_companies
Integer
The number of other companies in the network that have seen this face.
times_seen_by_your_company
Integer
The total number of times this face has been seen in inquiries by your company.
times_seen_last_month
Integer
The number of times this face has been seen in the last month across the network.
warnings
Object
Contains specific warnings related to the selfie analysis.
warnings.external_id
String
A warning message indicating that the selfie face is associated with multiple different external IDs.
first_seen_image
Boolean
Indicates if this is the first time this exact image has been seen.
4. curp
Object
curp
ObjectThis object provides a detailed breakdown and validation of the user's CURP against official government records.
curp
String
The CURP string being analyzed.
state_of_birth
String
The user's state of birth as decoded from the CURP.
state_iso
String
The ISO 3166-2 code for the state of birth.
date_of_birth
String
The user's date of birth as decoded from the CURP.
age
Integer
The calculated age of the user.
gender
String
The user's gender as decoded from the CURP (M
for Male/Masculino).
is_mexican
Boolean
Indicates if the CURP corresponds to a Mexican citizen.
name_to_CURP_valid
Boolean
Indicates if the name provided in the request is consistent with the name associated with the CURP.
government_valid
Boolean
Indicates if the CURP is valid according to official government databases (RENAPO).
government_name
String
The full name associated with the CURP in the official government database.
deceased
Boolean
Indicates if the person associated with the CURP is marked as deceased.
error
String
Indicates if the CURP exists in RENAPO
5. unico
Object
unico
ObjectThis object contains internal identifiers related to the verification process.
process_id
String
A unique identifier for the backend process that ran this check.
result
string
Result of the process. Possible values:
PROCESS_RESULT_UNSPECIFIED
: The process has not yet finished;PROCESS_RESULT_ERROR
: Process finished with error;PROCESS_RESULT_LIVE
: The user was active at the time of capture and we found no evidence of fraud;PROCESS_RESULT_HIGH_RISK
: we recommend rejection, but the decision remains yours. High risk indicates that 60% to 80% of cases with this level of risk become delinquent;PROCESS_RESULT_CRITICAL_RISK
: we recommend rejection, but leave it open for you to decide. Critical Risk indicates that 80% to 95% of cases with this level of risk become delinquent;PROCESS_RESULT_NOT_APPROVED
: rejection recommended as multiple indications of fraud were detected. Accuracy greater than 95%;PROCESS_RESULT_NOT_LIVE
: the user was not live at the time of capture, although we found no other indications of frau
Example
{
"data": {
"images": {
"document_image": "/9j/4AAQSkZJRgABA[..]",
"document_image_back": "/9j/4AAQSkZJRgABA[..]",
"selfie": "/9j/4AAQSkZJRgABA[..]"
},
"response": {
"curp": {
"age": 33,
"curp": "GOCJ850627HDFRRL09",
"date_of_birth": "10/03/1982",
"deceased": false,
"gender": "F",
"government_name": "LUKE SKYWALKER",
"government_valid": true,
"is_mexican": true,
"name_to_CURP_valid": true,
"state_iso": "MX-CHP",
"state_of_birth": "Chiapas"
},
"document": {
"back": {
"cic": "237457894",
"mrz": "IDMEX999999999999<9 VADER<SKYWALKER<<LUKE",
"citizen_id": "999999999"
},
"details": {
"detected": true,
"document_id": 229399,
"forensics": {
"is_valid": "no"
}
},
"front": {
"face_analysis": {
"face_id": 236016,
"face_id_v2": 198475,
"first_seen": "11/25/2024, 13:43:35",
"inquiry_date": "07/02/2025, 14:13:11",
"last_seen": "06/30/2025, 12:30:15",
"last_seen_by_your_company": "06/30/2025, 12:30:15",
"match": true,
"match_fraud_flag": false,
"seen_by_your_company": true,
"seen_different_companies": 1,
"times_seen_by_your_company": 1,
"times_seen_last_month": 1,
"unique_face_id_v2": 517,
"warnings": {}
},
"information": {
"address": {
"text": "C 21 DE MARZO MZ 9 LT 5, FRACC 1ERO DE MAYO 30099, COMITAN DE DOMINGUEZ CHIS",
"valid": false
},
"birthdate": {
"text": "10/03/1982",
"valid": true
},
"complete_name": {
"text": "LUKE SKYWALKER",
"valid": true
},
"curp": {
"text": "GOCJ850627HDFRRL09",
"valid": true
},
"electoral_key": {
"text": "GRCRSN82031007M500",
"valid": true
},
"last_name": {
"text": "SKYWALKER",
"valid": true
},
"mother_last_name": {
"text": "VADER",
"valid": true
},
"name": {
"text": "LUKE SKYWALKER",
"valid": true
},
"registration_year": {
"text": "2002 01",
"valid": true
},
"sex": {
"text": "M",
"valid": true
},
"valid_thru": {
"text": "2024",
"valid": true
}
}
}
},
"face_match": false,
"label": null,
"reason": null,
"request_id": "d1kxp9ah8f0s71uv9zx0",
"selfie": {
"face_id": 236017,
"face_id_v2": 3762,
"first_seen": "10/15/2024, 12:58:55",
"first_seen_image": true,
"inquiry_date": "07/02/2025, 14:13:34",
"last_seen": "07/02/2025, 14:13:13",
"last_seen_by_your_company": "07/01/2025, 20:52:57",
"match": true,
"match_fraud_flag": false,
"seen_by_your_company": true,
"seen_different_companies": 7,
"times_seen_by_your_company": 95,
"times_seen_last_month": 95,
"unique_face_id_v2": 564,
"warnings": {}
},
"unico": {
"process_id": "9f3c7b84-1a26-4e0e-bd64-73ac9f54a901",
"result": "PROCESS_RESULT_NOT_APPROVED"
}
}
},
"user_id": "1234",
"request_date": "2025-06-30T14:55:32.123Z",
"status": "ok",
"status_code": 200,
"version": "v2"
}
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