POST/prism/external/queryTagAndInfo-20%$0.05 USDT/call$0.04 USDT/call

Free billing instructions: No billing will be charged in case of abnormalities
Billing instructions for empty value: The interface is limited to 10 free empty value times per day
Empty value definition: The server query result is empty and no data was found

query citizen tag and basic info by CURP/email/phone

Header Parameters

NameTypeRequiredDescription
X-Api-TokenstringRequiredYour platform API token

Parameters

NameInTypeRequiredDescription
hello-agentquerystringRequiredagent

Request Body Example

{
  "secretKey": "fb4db743004087af5f63eb98568d284f415df64c9e9ac504770c20dc0845bca1",
  "userName": "admin",
  "eventCode": "query_tag_info",
  "keyword": "MOVE931211HBCRRD03"
}

Response 200JSON

{
  "code": 0,
  "msg": "OK",
  "data": {
    "userInfo": {
      "MOVE931211HBCRRD03": {
        "ext": {
          "risk_accept_score": "45.416",
          "job_stable_level": "28",
          "credit_level": "1",
          "risk_score_3_0": "57.049",
          "risk_score_3_1": "39.386",
          "repay_level": "3",
          "risk_score_1": "65.353",
          "salary_level": "27.847",
          "apply_loan_level": "7",
          "risk_score_2": "21.972",
          "status_level": "3"
        }
      }
    },
    "tag": {
      "MOVE931211HBCRRD03": [
        {
          "code": "is_whatsapp"
        },
        {
          "code": "is_advanced_contact"
        },
        {
          "code": "is_night_applicant_old"
        },
        {
          "code": "is_facebook"
        },
        {
          "code": "is_weekend_applicant_new"
        },
        {
          "code": "is_stable_job"
        },
        {
          "code": "is_overdue_30d_order"
        },
        {
          "code": "is_high_salary"
        },
        {
          "code": "is_weekend_applicant_old"
        },
        {
          "code": "is_rejected_applicant"
        }
      ]
    }
  }
}

Response Fields

NameTypeMeaningExampleDescription
status_levelstringIdentity risk level4Built from education background, social security payment, child-related status, and related signals. Higher values indicate higher risk.
salary_levelstringSalary level11Built from daily wage in social security records, salary in cash-loan records, and related signals. Higher values indicate lower risk.
job_stable_levelstringJob stability level27Built from working days, number of employers paying social security, residence type, and related signals. Higher values indicate lower risk.
repay_levelstringRepayment capability level2Built from bank level, bank deposits, number of registered financial institutions, and related signals. Higher values indicate lower risk.
credit_levelstringCredit level0.514Built from historical repayment rate, repayment amount, and repayment order count over the past 1 to 3 years. Higher values indicate lower risk.
apply_loan_levelstringLoan application level3Built from registered cash-loan platform count, maximum application frequency, disbursement count, repeat borrowing count, and related signals over the past 1 to 3 years. Higher values indicate higher risk.
risk_accept_scorestringRisk acceptance score20.399Built from registered cash-loan platform count, interest rates, repayment periods, application amounts, and related signals over the past 1 to 3 years. Higher values indicate a more subprime user segment and higher risk acceptance.
risk_score_1stringUser risk score V173.085Assesses post-loan behavior for single-period and short-term 7-day products. Higher values indicate higher risk. Model base: GBDT + LR.
risk_score_2stringUser risk score V227.314Assesses post-loan behavior for installment and medium-term 14 to 30 day products. Higher values indicate higher risk. Model base: GBDT + LR.
risk_score_3_0stringUser risk score V3, segment 058.917Assesses post-loan behavior for installment and medium-to-long-term products over 30 days. Higher values indicate higher risk. Model base: GBDT + LR.
risk_score_3_1stringUser risk score V3, segment 150.396Assesses post-loan behavior for installment and medium-to-long-term products over 30 days. Higher values indicate higher risk. Model base: GBDT + LR.