墨西哥实时数据综合 API 墨西哥实时数据综合 APIPOST 查询标签及基本信息
POST/prism/external/queryTagAndInfo-20%$0.05 USDT/call$0.04 USDT/call

免费计费说明：发生异常时不收取费用。
空结果计费说明：该接口每天最多提供 10 次免费空结果查询。
空结果定义：服务器查询结果为空，未找到任何数据。

通过 CURP、电子邮箱或电话号码查询公民标签及基本信息。

请求头参数

名称类型是否必填描述
X-Api-Tokenstring必填您的平台 API 令牌

参数

名称位置类型是否必填描述
hello-agentquerystring必填agent

请求体示例

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

响应 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"
        }
      ]
    }
  }
}

响应字段

名称类型含义示例描述
responseJSON`[ { "name": "status_level", "type": "string", "field_description": "身份风险等级", "field_value_example": "4", "description": "根据教育背景、社会保障缴费情况、子女相关状态及其他相关信号构建。数值越高，风险越高。" }, { "name": "salary_level", "type": "string", "field_description": "薪资等级", "field_value_example": "11", "description": "根据社会保障记录中的日工资、现金贷记录中的薪资及其他相关信号构建。数值越高，风险越低。" }, { "name": "job_stable_level", "type": "string", "field_description": "工作稳定性等级", "field_value_example": "27", "description": "根据工作天数、缴纳社会保障的雇主数量、居住类型及其他相关信号构建。数值越高，风险越低。" }, { "name": "repay_level", "type": "string", "field_description": "还款能力等级", "field_value_example": "2", "description": "根据银行等级、银行存款、登记金融机构数量及其他相关信号构建。数值越高，风险越低。" }, { "name": "credit_level", "type": "string", "field_description": "信用等级", "field_value_example": "0.514", "description": "根据过去 1 至 3 年的历史还款率、还款金额和还款订单数构建。数值越高，风险越低。" }, { "name": "apply_loan_level", "type": "string", "field_description": "贷款申请等级", "field_value_example": "3", "description": "根据过去 1 至 3 年登记的现金贷平台数量、最高申请频率、放款次数、重复借款次数及其他相关信号构建。数值越高，风险越高。" }, { "name": "risk_accept_score", "type": "string", "field_description": "风险接受度评分", "field_value_example": "20.399", "description": "根据过去 1 至 3 年登记的现金贷平台数量、利率、还款期限、申请金额及其他相关信号构建。数值越高，表示用户越偏向次级客群，风险接受度也越高。" }, { "name": "risk_score_1", "type": "string", "field_description": "用户风险评分 V1", "field_value_example": "73.085", "description": "评估单期和 7 天短期产品的贷后行为。数值越高，风险越高。模型基础：GBDT + LR。" }, { "name": "risk_score_2", "type": "string", "field_description": "用户风险评分 V2", "field_value_example": "27.314", "description": "评估分期及 14 至 30 天中期产品的贷后行为。数值越高，风险越高。模型基础：GBDT + LR。" }, { "name": "risk_score_3_0", "type": "string", "field_description": "用户风险评分 V3，第 0 分群", "field_value_example": "58.917", "description": "评估分期及 30 天以上中长期产品的贷后行为。数值越高，风险越高。模型基础：GBDT + LR。" }, { "name": "risk_score_3_1", "type": "string", "field_description": "用户风险评分 V3，第 1 分群", "field_value_example": "50.396", "description": "评估分期及 30 天以上中长期产品的贷后行为。数值越高，风险越高。模型基础：GBDT + LR。" } ]`-`[ { "name": "status_level", "type": "string", "field_description": "身份风险等级", "field_value_example": "4", "description": "根据教育背景、社会保障缴费情况、子女相关状态及其他相关信号构建。数值越高，风险越高。" }, { "name": "salary_level", "type": "string", "field_description": "薪资等级", "field_value_example": "11", "description": "根据社会保障记录中的日工资、现金贷记录中的薪资及其他相关信号构建。数值越高，风险越低。" }, { "name": "job_stable_level", "type": "string", "field_description": "工作稳定性等级", "field_value_example": "27", "description": "根据工作天数、缴纳社会保障的雇主数量、居住类型及其他相关信号构建。数值越高，风险越低。" }, { "name": "repay_level", "type": "string", "field_description": "还款能力等级", "field_value_example": "2", "description": "根据银行等级、银行存款、登记金融机构数量及其他相关信号构建。数值越高，风险越低。" }, { "name": "credit_level", "type": "string", "field_description": "信用等级", "field_value_example": "0.514", "description": "根据过去 1 至 3 年的历史还款率、还款金额和还款订单数构建。数值越高，风险越低。" }, { "name": "apply_loan_level", "type": "string", "field_description": "贷款申请等级", "field_value_example": "3", "description": "根据过去 1 至 3 年登记的现金贷平台数量、最高申请频率、放款次数、重复借款次数及其他相关信号构建。数值越高，风险越高。" }, { "name": "risk_accept_score", "type": "string", "field_description": "风险接受度评分", "field_value_example": "20.399", "description": "根据过去 1 至 3 年登记的现金贷平台数量、利率、还款期限、申请金额及其他相关信号构建。数值越高，表示用户越偏向次级客群，风险接受度也越高。" }, { "name": "risk_score_1", "type": "string", "field_description": "用户风险评分 V1", "field_value_example": "73.085", "description": "评估单期和 7 天短期产品的贷后行为。数值越高，风险越高。模型基础：GBDT + LR。" }, { "name": "risk_score_2", "type": "string", "field_description": "用户风险评分 V2", "field_value_example": "27.314", "description": "评估分期及 14 至 30 天中期产品的贷后行为。数值越高，风险越高。模型基础：GBDT + LR。" }, { "name": "risk_score_3_0", "type": "string", "field_description": "用户风险评分 V3，第 0 分群", "field_value_example": "58.917", "description": "评估分期及 30 天以上中长期产品的贷后行为。数值越高，风险越高。模型基础：GBDT + LR。" }, { "name": "risk_score_3_1", "type": "string", "field_description": "用户风险评分 V3，第 1 分群", "field_value_example": "50.396", "description": "评估分期及 30 天以上中长期产品的贷后行为。数值越高，风险越高。模型基础：GBDT + LR。" } ]`