flows/request_schema.json

{
  "$schema": "http://json-schema.org/draft-07/schema",
  "properties": {
    "user_age": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Age of the user at the contract date, based on birthdate and contract date",
      "required": []
    },
    "persona_entity_confidence_score": {
      "type": [
        "number",
        "null"
      ],
      "description": "Based on confidence reasons assign a score between 0 and 100",
      "required": []
    },
    "persona_selfie_similarity_score_right": {
      "type": [
        "number",
        "null"
      ],
      "description": "Similarity score from the right side selfie",
      "required": []
    },
    "persona_selfie_similarity_score_left": {
      "type": [
        "number",
        "null"
      ],
      "description": "Similarity score from the left side selfie",
      "required": []
    },
    "persona_hesitation_percentage": {
      "type": [
        "number",
        "null"
      ],
      "description": "Percentage of time in the flow where the customer did not enter inputs",
      "required": []
    },
    "persona_hesitation_count": {
      "type": [
        "number",
        "null"
      ],
      "description": "Persona hesitation count",
      "required": []
    },
    "device_id_age_max": {
      "type": [
        "integer",
        "null"
      ],
      "description": "This calculates the maximum device age for a user and loan, similar to min and avg logic but for the max value.",
      "required": []
    },
    "selfie_consistency_score_avg": {
      "type": [
        "number",
        "null"
      ],
      "description": "Average selfie consistency score for the user's persona activity",
      "required": []
    },
    "device_consistency": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Number of distinct devices associated with a user and loan",
      "required": []
    },
    "selfie_consistency_score": {
      "type": [
        "number",
        "null"
      ],
      "description": "Average similarity score between left and right selfie",
      "required": []
    },
    "global_fs_ls": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Days between the first and last global appearance of the device",
      "required": []
    },
    "inquiry_frequency": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Number of inquiries made by the user regarding the loan",
      "required": []
    },
    "confidence_score_min": {
      "type": [
        "number",
        "null"
      ],
      "description": "The minimum recorded confidence score for the user and loan during the timeframe.",
      "required": []
    },
    "contract_date_fs_sub": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Days between the first subscription appearance and contract date",
      "required": []
    },
    "browser_os": {
      "type": [
        "string",
        "null"
      ],
      "description": "Browser OS",
      "required": []
    },
    "user_city_ip_match": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Checks if the user's city matches the IP city",
      "required": []
    },
    "device_id_age_avg": {
      "type": [
        "number",
        "null"
      ],
      "description": "This calculates the rolling average of device_id_age for a user and loan. If no previous rows, the current value is returned.",
      "required": []
    },
    "persona_distraction_events": {
      "type": [
        "number",
        "null"
      ],
      "description": "Persona distraction events",
      "required": []
    },
    "sub_fs_ls": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Days between the first and last subscription activity",
      "required": []
    },
    "device_id_age_min": {
      "type": [
        "integer",
        "null"
      ],
      "description": "This calculates the minimum device age for a user and loan, falling back to the current device age if no prior values exist.",
      "required": []
    },
    "confidence_score_max": {
      "type": [
        "number",
        "null"
      ],
      "description": "The maximum confidence score recorded for the user and loan combination.",
      "required": []
    },
    "persona_phone_risk_score": {
      "type": [
        "number",
        "null"
      ],
      "description": "Risk associated with the phone number. The risk score ranges from 0 to 100. The higher the risk score, the higher the risk level.",
      "required": []
    },
    "ip_address_risk_level": {
      "type": [
        "string",
        "null"
      ],
      "description": "Checks if the IP country code matches the persona country code",
      "required": []
    },
    "login_frequency": {
      "type": [
        "number",
        "null"
      ],
      "description": "This counts the number of times the user logs in based on the inquiry_updated_at timestamp, providing insights into the user's login behavior throughout the loan process.",
      "required": []
    },
    "suspect_score": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Suspect score",
      "required": []
    },
    "confidence_score": {
      "type": [
        "number",
        "null"
      ],
      "description": "Confidence score",
      "required": []
    },
    "name_consistency": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Checks if the first name in the persona matches the user-provided first name",
      "required": []
    },
    "ip_location_consistency": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Number of distinct IP locations for a user and loan",
      "required": []
    }
  },
  "required": []
}