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# Event Analysis Model API

Call method See Call method description in Open API doc.

You can read the event analysis in the user manual to understand the usage scenario.

# Event Analysis Query

Interface URL

/open/event-analyze?token=xxx

Request method

POST

Content-Type

application/json

Request Query parameter

Parameter name
 Sample value
 Parameter type
 Is required
 Parameter description
token
 xxx
 String
 Yes
 token

# Request Body Parameter

{
    "eventView": {
        "comparedByTime": true,
        "comparedStartTime": "2021-12-14 00:00:00",
        "comparedEndTime": "2021-12-20 23:59:59",
        "comparedRecentDay": "8-14",
        "startTime": "2021-12-21 00:00:00",
        "endTime": "2021-12-27 23:59:59",
        "recentDay": "1-7",
        "relation": "and",
        "timeParticleSize": "day",
        "eventSplit": {
            "event": {
                "eventDesc": "login",
                "eventName": "login"
            },
            "groupByProp": {
                "columnDesc": "browser",
                "columnName": "browser",
                "propertyRange": "",
                "tableType": "event"
            }
        },
        "groupBy": [{
            "columnDesc": "brand",
            "columnName": "brand",
            "propertyRange": "",
            "specifiedClusterDate": "2021-12-28",
            "tableType": "event"
        }],
        "filts": [{
            "columnDesc": "brand",
            "columnName": "brand",
            "comparator": "equal",
            "filterType": "SIMPLE",
            "ftv": ["apple", "xiaomi"],
            "specifiedClusterDate": "2021-12-28",
            "tableType": "event",
            "timeUnit": ""
        }],
        "queryFeature": {
            "approximateOn": true,
            "globalQueryOn": false
        }
    },
    "events": [{
        "analysis": "TOTAL_TIMES",
        "analysisParams": "",
        "eventName": "login",
        "eventNameDisplay": "total times of loggin",
        "eventSplitIndexes": [0],
        "eventUuid": "7FonAy-G",
        "filts": [],
        "quota": "",
        "relation": "and",
        "type": "normal"
    }, {
        "analysis": "TRIG_USER_NUM",
        "analysisParams": "",
        "eventName": "activity_attend",
        "eventNameDisplay": "Number of Trigger Users Attending Activities",
        "eventUuid": "K9A5NDAz",
        "filts": [{
            "columnDesc": "app version",
            "columnName": "app_version",
            "comparator": "notNull",
            "filterType": "SIMPLE",
            "ftv": [],
            "specifiedClusterDate": "2021-12-28",
            "tableType": "event",
            "timeUnit": ""
        }],
        "quota": "",
        "quotaEntities": [{
            "index": 0,
            "taIdMeasure": {
                "columnDesc": "only user ID",
                "columnName": "#user_id",
                "tableType": "event"
            }
        }],
        "relation": "and",
        "type": "normal"
    }, {
        "customEvent": "logout.PER_CAPITA_TIMES",
        "customFilters": [],
        "eventName": "custom indicator",
        "eventNameDisplay": "",
        "eventSplitIndexes": [],
        "eventUuid": "gxqT19xz",
        "filts": [],
        "format": "float",
        "quota": "",
        "quotaEntities": [{
            "index": 0,
            "taIdMeasure": {
                "columnDesc": "email",
                "columnName": "email",
                "tableType": "user"
            }
        }],
        "quotaTimeRanges": [{
            "index": 0,
            "params": ["1"],
            "type": "THIS_WEEK"
        }],
        "relation": "and",
        "type": "customized"
    }],
    "projectId": 377,
    "useSameResultKey": false,
    "useCache": true,
    "limit": 1000,
    "timeoutSeconds": 10
}

::: TIP

Imported parameters are composed of many parts: basic parameters must be selected; Time comparison parameters, event splitting parameters, group item parameters, global filter item parameters, query configuration item parameters are optional; Choose one of common analysis indicators and custom analysis indicators.

:::

# Request Parameter Description

Parameter name
 Sample value
 Parameter type
 Is required
 Parameter description
eventView
 -
 Object
 Yes
 Grouping properties
∟ comparedByTime true
 Boolean
 No
 Whether to compare time, TRUE: Yes, FALSE: No
∟ comparedStartTime 2021-12-14 00:00:00
 String
 No
 Contrast time start time (format: yyyy-MM-dd HH: mm: ss), the comparison time is valid when the relative time is empty
∟ comparedEndTime 2021-12-20 23:59:59
 String
 No
 Compare time end event (format: yyyy-MM-dd HH: mm: ss), valid when the comparison time is empty relative to time
∟ comparedRecentDay 8-14
 String
 No
 Comparison time relative time (when comparedByTime is TRUE, this item cannot be empty at the same time as the start time and end time of the comparison time)
∟ startTime 2021-12-21 00:00:00
 String
 No
 Start time (format: yyyy-MM-dd HH: mm: ss), valid when the relative time is empty
∟ endTime 2021-12-27 23:59:59
 String
 No
 End time (format: yyyy-MM-dd HH: mm: ss), valid when the relative time is empty
∟ recentDay 1-7
 String
 No
 Relative time (this item cannot be empty at the same time as the start time and the end time)
∟ relation and
 String
 No
 Logical relationship, and: logical and, or: logical or
∟ timeParticleSize day
 String
 Yes
 Unit of time for analysis
Press 1 minute
Minute 5: Press 5 minutes (v3.5 starts to support)
Minute 10: Press 10 minutes (v3.5 start support)
By the hour
By day
Week: by week
Month: by month
Total: total
∟ eventSplit -
 Object
 No
 Event Split Information
∟ event -
 Object
 Yes
 Event splitting event information
∟ eventDesc Login
 String
 No
 Event split indicator display name
∟ eventName login
 String
 Yes
 Event splitting indicator event name
∟ groupByProp -
 Object
 Yes
 Event splitting indicator grouping information
∟ columnDesc Browser
 String
 No
 Event split grouping field display name
∟ columnName browser
 String
 Yes
 Event split grouping field field name
∟ propertyRange String
 No
 Event splitting grouping attribute interval
∟ tableType event
 String
 Yes
 Event split table type, event: transaction table, user: user table
∟ groupBy -
 List
 No
 Group attributes, can have zero or more
∟ columnName brand
 String
 Yes
 Field name
∟ columnDesc Brand
 String
 No
 Field display name
∟ propertyRange String
 No
 Custom attribute interval
∟ propertyRangeType String
 No
 Property interval type, when grouping numeric properties, you can customize bucketing conditions
Def: default interval, automatically divided by the system
Discrete: Each value is an independent group
user_defined: User defined. Custom content is set in propertyRange
∟ specifiedClusterDate 2021-12-28
 String
 No
 Cluster specified date
∟ tableType event
 String
 Yes
 Table type, event: transaction table, user: user table
∟ filts -
 List
 No
 Global filter
∟ columnDesc Brand
 String
 No
 Field display name
∟ columnName brand
 String
 Yes
 Field name
∟ comparator equal
 String
 Yes
 Reference: Filtered expression for model query API
∟ filterType SIMPLE
 String
 No
 Filter mode, SIMPLE: simple, COMPOUND: composite
∟ ftv ["Apple", "Xiaomi"]
 List
 No
 Property comparison value
∟ specifiedClusterDate 2021-12-28
 String
 No
 Cluster specified date
∟ tableType event
 String
 Yes
 Table type, event: transaction table, user: user table
∟ timeUnit String
 No
 Property comparison units, valid for relativeEvent * only: day, hour, minute
∟ queryFeature -
 Object
 No
 Query configuration
∟ approximateOn true
 Boolean
 No
 Whether to turn on approximate calculation
∟ globalQueryOn false
 Boolean
 No
 Whether to turn on multi-cluster computing
events
 -
 List
 Yes
 List of event indicators
∟ analysis TRIG_USER_NUM
 String
 No
 Analysis angle, aggregation operation, see the following table for details
∟ analysisParams String
 No
 Analysis angle parameter (analysis cannot be empty when it is PERCENTILE, the value range: 1-100, representing several points)
∟ eventName activity_attend
 String
 Yes
 Event type, in particular, you can use anyEvent to represent any event
∟ eventNameDisplay Number of trigger users participating in the event
 String
 No
 Event display name
∟ eventUuid K9A5NDAz
 String
 No
 Event UUID, used to identify event unique
∟ filts -
 List
 No
 List of conditions
∟ columnDesc App version
 String
 No
 Field display name
∟ columnName app_version
 String
 Yes
 Field name
∟ comparator notNull
 String
 Yes
 Reference: Filtered expression for model query API
∟ filterType SIMPLE
 String
 No
 Filter mode, SIMPLE: simple, COMPOUND: composite
∟ ftv []
 List
 No
 Property comparison value
∟ specifiedClusterDate 2021-12-28
 String
 No
∟ tableType event
 String
 Yes
 Table type, event: transaction table, user: user table
∟ timeUnit String
 No
 Filter time unit
∟ quota String
 No
 Indicator attributes (with analysis, meaning which attribute of which analysis angle)
∟ quotaDesc String
 No
 Indicator property display name
∟ quotaEntities -
 List
 List of subjects corresponding to the analysis event indicator
∟ index 0
 Integer
 Yes
 Analyze the subject subscript corresponding to the event indicator
∟ taIdMeasure -
 Object
 Query ID system configuration
∟ columnDesc User unique ID
 String
 No
 Field display name
∟ columnName #user_id
 String
 Yes
 Field name
∟ tableType event
 String
 Yes
 Table type, event: transaction table, user: user table
∟ relation and
 String
 No
 Logical relationship, and: logical and, or: logical or
∟ type normal
 String
 Yes
 Normal: general analysis
Customized: Custom formula
∟ customEvent logout.PER_CAPITA_TIMES
 String
 No
 Formula expression consisting of addition, subtraction, multiplication and division of analytical terms or numerical constants. Analysis terms come in two forms: eventN ame.column N ame.analysis or eventN ame.analysis.
∟ customFilters []
 List
 No
 Formula expression filter item list
∟ eventName Custom indicators
 String
 Yes
 Custom indicator display name
∟ eventNameDisplay String
 No
∟ eventSplitIndexes []
 List
 No
 Items involved in event splitting
∟ eventUuid gxqT19xz
 String
 No
 Custom indicator UUID to identify indicators as unique
∟ filts []
 List
 No
 Filter List
∟ format float
 String
 No
 Options to display data
Float: two decimal places, float3: three decimal places, float4: four decimal places, percent: percentage
∟ quota String
 No
 Indicator attributes (with analysis, meaning which attribute of which analysis angle)
∟ quotaDesc String
 No
 Indicator property display name
∟ quotaEntities -
 List
 No
 List of subjects corresponding to the analysis event indicator
∟ index 0
 Integer
 Yes
 Analyze the subject subscript corresponding to the event indicator
∟ taIdMeasure -
 Object
 Yes
 Query ID system configuration
∟ columnDesc Mailbox
 String
 No
 Field display name
∟ columnName email
 String
 Yes
 Field name
∟ tableType user
 String
 Yes
 Table type, event: transaction table, user: user table
∟ quotaTimeRanges []
 List
 No
 List of indicator time period information
∟ index 0
 Integer
 Yes
 Time period subscript
∟ params ["1"]
 List
 No
 Time period parameter
∟ type THIS_WEEK
 String
 Yes
 Time period type
LAST_DAYS: past few days, RECENT_DAYS: recent days, THIS_WEEK: current week, THIS_MONTH: current month
∟ relation and
 String
 No
 Logical relationship, and: logical and, or: logical or
∟ type customized
 String
 Yes
 Normal: General analysis
Customized: Custom formula
projectId
 377
 Integer
 Yes
 Project Id
useSameResultKey
 false
 Boolean
 No
 Whether to use the same event name when the event names are the same
True: use the same event name
False: The event names are the same, add a prefix number
useCache
 true
 Boolean
 No
 Use cache, optional parameter, default is true
limit
 1000
 Integer
 No
 Maximum number of groups per analysis object, optional parameters, default is 1000, maximum is 10000
timeoutSeconds
 10
 Integer
 No
 Request timed out parameter, timeout cancels query task

Aggregation method analysis value:

Value
 Description
 Whether properties are required
TOTAL_TIMES
 Total number
 No
TRIG_USER_NUM
 Number of users triggered
 No
PER_CAPITA_TIMES
 Number of times per capita
 No
SUM
 Sum of values
 Yes
AVG
 Numerical average
 Yes
FOR _ CAPITA _ NUM
 Per capita
 Yes
MAX
 Maximum value
 Yes
MIN
 Numerical minimum
 Yes
DISTINCT
 Deduplicate number
 Yes
TRUE
 True number
 Yes
FALSE
 False number
 Yes
IS_NOT_EMPTY
 Not an empty number
 Yes
IS_EMPTY
 Null number
 Yes
ARRAY_DISTINCT
 List overall deduplicate number
 Yes
ARRAY_SET_DISTINCT
 Element collection deduplicate number
 Yes
ARRAY_ITEM_DISTINCT
 List element deduplicate number
 Yes
MEDIAN
 Median
 Yes
PERCENTILE
 Percepentiles
 Yes

# Successful Response Example

Under the same conditions, the results of the trend chart and date table after the TA event analysis operation are as follows

{
    "data": {
        "result_generate_time": "2021-12-30 11:15:41",
        "union_groups": [
            [
                "Safari",
                "apple"
            ],
            [
                "Firefox",
                "xiaomi"
            ],
            [
                "WeChat built-in browser",
                "apple"
            ],
            [
                "total",
                "apple"
            ],
            [
                "total",
                "xiaomi"
            ]
        ],
        "x": [
            "2021-12-23",
            "2021-12-24",
            "2021-12-25",
            "2021-12-26",
            "2021-12-27",
            "2021-12-28",
            "2021-12-29"
        ],
        "x_compared": [
            "2021-12-16",
            "2021-12-17",
            "2021-12-18",
            "2021-12-19",
            "2021-12-20",
            "2021-12-21",
            "2021-12-22"
        ],
        "y": [
            {
                "login.TOTAL_TIMES": [
                    {
                        "group_cols": [
                            "Safari",
                            "apple"
                        ],
                        "group_num": 3,
                        "values": [
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0"
                        ],
                        "values_compared": [
                            "447",
                            "980",
                            "1584",
                            "321",
                            "285",
                            "74",
                            "0"
                        ]
                    },
                    {
                        "group_cols": [
                            "Firefox",
                            "xiaomi"
                        ],
                        "group_num": 3,
                        "values": [
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0"
                        ],
                        "values_compared": [
                            "291",
                            "818",
                            "1128",
                            "272",
                            "219",
                            "58",
                            "0"
                        ]
                    },
                    {
                        "group_cols": [
                            "WeChat built-in browser",
                            "apple"
                            ],
                        "group_num": 3,
                        "values": [
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0"
                        ],
                        "values_compared": [
                            "231",
                            "500",
                            "764",
                            "214",
                            "155",
                            "35",
                            "0"
                        ]
                    }
                ]
            },
            {
                "activity_attend.TRIG_USER_NUM": [
                    {
                        "group_cols": [
                            "total",
                            "apple"
                        ],
                        "group_num": 2,
                        "values": [
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0"
                        ],
                        "values_compared": [
                            "640",
                            "811",
                            "1251",
                            "1253",
                            "720",
                            "113",
                            "0"
                        ]
                    },
                    {
                        "group_cols": [
                            "total",
                            "xiaomi"
                        ],
                        "group_num": 2,
                        "values": [
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0",
                            "0"
                        ],
                        "values_compared": [
                            "277",
                            "439",
                            "600",
                            "666",
                            "364",
                            "59",
                            "0"
                        ]
                    }
                ]
            },
            {
                "Custom Indicators": [
                    {
                        "group_cols": [
                            "total",
                            "apple"
                        ],
                        "group_num": 2,
                        "values": [
                            "1",
                            "1",
                            "1",
                            "1",
                            "0",
                            "0",
                            "0"
                        ],
                        "values_compared": [
                            "1.01",
                            "1.01",
                            "1.01",
                            "1.01",
                            "1",
                            "1",
                            "1"
                        ]
                    },
                    {
                        "group_cols": [
                            "total",
                            "xiaomi"
                        ],
                        "group_num": 2,
                        "values": [
                            "1",
                            "1",
                            "1",
                            "1",
                            "0",
                            "0",
                            "0"
                        ],
                        "values_compared": [
                            "1.01",
                            "1.01",
                            "1.01",
                            "1.01",
                            "1",
                            "1",
                            "1"
                        ]
                    }
                ]
            }
        ]
    },
    "return_code": 0,
    "return_message": "success"
}

# Response Parameter Description

Parameter name
 Sample value
 Parameter type
 Parameter description
data
 -
 Object
 Return result
∟ result_generate_time 2021-12-29 12:00:00
 String
 Query result generation time
∟ union_groups ["Apple"]
 List
 Group
∟ x ["2021-12-23"]
 List
 X-axis time
∟ x_compared ["2021-12-16"]
 List
 X-axis comparison time
∟ y -
 List
 Y-axis data list
∟ {Indicatorname} -
 List
 Y-axis indicator information list
∟ group_cols ["Apple"]
 List
 Y-axis indicator grouping
∟ group_num 3
 Integer
 Y-axis indicator grouping number
∟ values ["0"]
 List
 Y-axis indicator value
∟ values_compared ["447"]
 List
 Y-axis time comparison index value
return_code
 0
 Integer
 Return code
return_message
 success
 String
 Return information

Error Response Example

{
    "return_code": -1008,
    "return_message": "参数(token)为空"
}
Parameter name
 Sample value
 Parameter type
 Parameter description
return_code
 -1008
 Integer
 Return code
return_message
 The parameter (token) is empty
 String
 Return information

Curl **E**xample

curl -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{"projectId": 377,"useSameResultKey": false,"useCache": true,"limit": 1000,"eventView": {"comparedByTime": true,"comparedStartTime": "2021-12-14 00:00:00","comparedEndTime": "2021-12-20 23:59:59","comparedRecentDay": "8-14","startTime": "2021-12-21 00:00:00","endTime": "2021-12-27 23:59:59","recentDay": "1-7","relation": "and","timeParticleSize": "day","eventSplit": {"event": {"eventDesc": "登录","eventName": "login"},"groupByProp": {"columnDesc": "浏览器","columnName": "browser","propertyRange": "","tableType": "event"}},"groupBy": [{"columnDesc": "品牌","columnName": "brand","propertyRange": "","specifiedClusterDate": "2021-12-28","tableType": "event"}],"filts": [{"columnDesc": "品牌","columnName": "brand","comparator": "equal","filterType": "SIMPLE","ftv": ["苹果", "小米"],"specifiedClusterDate": "2021-12-28","tableType": "event","timeUnit": ""}],"queryFeature": {"approximateOn": true,"globalQueryOn": false}},"events": [{"analysis": "TOTAL_TIMES","analysisParams": "","eventName": "login","eventNameDisplay": "登录的总次数","eventSplitIndexes": [0],"eventUuid": "7FonAy-G","filts": [],"quota": "","relation": "and","type": "normal"}, {"analysis": "TRIG_USER_NUM","analysisParams": "","eventName": "activity_attend","eventNameDisplay": "参加活动的触发用户数","eventUuid": "K9A5NDAz","filts": [{"columnDesc": "app版本","columnName": "app_version","comparator": "notNull","filterType": "SIMPLE","ftv": [],"specifiedClusterDate": "2021-12-28","tableType": "event","timeUnit": ""}],"quota": "","quotaEntities": [{"index": 0,"taIdMeasure": {"columnDesc": "用户唯一ID","columnName": "#user_id","tableType": "event"}}],"relation": "and","type": "normal"}, {"customEvent": "logout.PER_CAPITA_TIMES","customFilters": [],"eventName": "自定义指标","eventNameDisplay": "","eventSplitIndexes": [],"eventUuid": "gxqT19xz","filts": [],"format": "float","quota": "","quotaEntities": [{"index": 0,"taIdMeasure": {"columnDesc": "邮箱","columnName": "email","tableType": "user"}}],"quotaTimeRanges": [{"index": 0,"params": ["1"],"type": "THIS_WEEK"}],"relation": "and","type": "customized"}]}' 'http://ta2:8992/open/event-analyze?token=bTOzKiTIozG4e19FgXphcA8dDV3DIY8RwdHTO7aSnBsRqSNaIk19BnBMecJDWibD'

# Event Analysis User List

Interface URL

/open/event-user-list?token=xxx

Request method

POST

Content-Type

application/json

Request Query parameter

Parameter name
 Sample value
 Parameter type
 Is required
 Parameter description
token
 xxx
 String
 Yes
 token

# Request Body Parameter

{
  "projectId": 0,
  "eventView": {
    "startTime": "2019-11-24 00:00:00",
    "endTime": "2019-11-26 00:00:00",
    "recentDay": "1-3",
    "timeParticleSize": "day",
    "groupBy": [
      {
        "columnName": "#city",
        "tableType": "event"
      }
    ]
  },
  "events": [
    {
      "analysis": "TRIG_USER_NUM",
      "eventName": "consume_item",
      "quota": "#vp@dailyTask",
      "relation": "and",
      "type": "normal",
      "filts": [
      {
          "columnName": "user_level",
          "comparator": "equal",
          "ftv": [
            "5"
          ],
          "tableType": "user"
        }
      ],
    }
  ],
  "sliceDate": "2019-11-26",
  "sliceGroupVal": [
    "Beijing"
  ],
  "timeoutSeconds": 10
}

# Request Parameter Description

Parameter name
 Sample value
 Parameter type
 Is required
 Parameter description
projectId
 0
 String
 Yes
 Parameter description
eventView
 -
 Object
 Yes
 Group property table
∟ startTime 2019-11-24 00:00:00
 String
 No
 Start time (format: yyyy-MM-dd HH: mm: ss), valid when the relative time is empty
∟ endTime 2019-11-26 00:00:00
 String
 No
 End time (format: yyyy-MM-dd HH: mm: ss), valid when the relative time is empty
∟ recentDay 1-3
 String
 No
 Relative time (this item cannot be empty at the same time as the start time and the end time)
∟ timeParticleSize day
 String
 Yes
 Unit of time for analysis
Press 1 minute
Minute 5: Press 5 minutes (v3.5 starts to support)
Minute 10: Press 10 minutes (v3.5 start support)
By the hour
By day
Week: by week
Month: by month
Total: total
∟ groupBy -
 List
 No
 Group attributes, can have zero or more
∟ columnName #city
 String
 Yes
 Field name
∟ tableType event
 String
 Yes
 Table type, event: transaction table, user: user table
events
 List
 Yes
 List of event indicators
∟ analysis TRIG_USER_NUM
 String
 No
 Analysis types, aggregation operations, see the table below
∟ eventName consume_item
 String
 Yes
 Event type, in particular, you can use anyEvent to represent any event
∟ quota # vp@dailyTask
String
 No
 Indicator attributes (with analysis, meaning which attribute of which analysis angle)
∟ relation and
 String
 No
 Logical relationship, and: logical and, or: logical or
∟ type normal
 String
 Yes
 Normal: General analysis
Customized: Custom formula
∟ filts -
 List
 No
 Filter List
∟ columnName user_level
 String
 Yes
 Field name
∟ comparator equal
 String
 Yes
 Reference: Filtered expression for model query API
∟ ftv ["5"]
 List
 No
 Property comparison value
∟ tableType user
 String
 Yes
 Table type, event: transaction table, user: user table
sliceDate
 "2019-11-26"
 String
 No
 Event date
sliceGroupVal
 ["Beijing"]
 List
 Yes
 Event location grouping
timeoutSeconds
 10
 Integer
 No
 Request timed out parameter, timeout cancels query task

# Successful Response Example

{
  "data": {
    "datalist": [
      {
        "#account_id": "e78107482",
        "#distinct_id": "e145056682",
        "user_level": 5,
        "register_time": "2019-11-26 14:36:13",
        "diamond_num": 1006,
        "latest_login_time": "2019-11-26 15:45:16",
        "channel": "app store",
        "#user_id": 33474682
      },
      {
        "#account_id": "d7819213",
        "#distinct_id": "d14521393",
        "user_level": 5,
        "register_time": "2019-11-26 23:25:14",
        "diamond_num": 858,
        "first_recharge_time": "2019-11-26 23:29:56",
        "latest_login_time": "2019-11-26 23:32:48",
        "channel": "app store",
        "#user_id": 3351093
      }
    ],
    "columMeta": {
      "#account_id": "account ID",
      "#distinct_id": "visitor ID",
      "user_level": "user level",
      "register_time": "register time",
      "diamond_num": "diamond number",
      "first_recharge_time": "first recharge time",
      "latest_login_time": "lastest login time",
      "channel": "channel"
    }
  },
  "return_code": 0,
  "return_message": "success"
}

# Response parameter description

Parameter name
 Sample value
 Parameter type
 Parameter description
return_code
 0
 Integer
 Return code
return_message
 success
 String
 Return information
data
 -
 Object
 Return result
∟ datalist -
 List
 User Information
∟ columMeta -
 Map
 Field meaning mapping

Error Response Example

{
    "return_code": -1008,
    "return_message": "The parameter (token) is empty"
}
Parameter name
 Sample value
 Parameter type
 Parameter description
return_code
 -1008
 Integer
 Return code
return_message
 The parameter (token) is empty
 String
 Return information

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