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POST /api/v1/client-api/metrics/analytics/

获取分析数据

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获取分析数据，用于洞察用户行为和性能数据图表，以便在数据图表中进一步使用。

此端点的收入为基于事件的计算方式：每个值归因于交易日期——即购买、续订或退款发生的当天。若要将收入归因于每位用户的安装日期（例如，与广告管理器进行对账），请使用同期群端点（POST /api/v1/client-api/metrics/cohort/）。

速率限制：每秒 2 次请求。

Request body

chart_idstringrequired

指定所需的数据图表。每次请求只能指定一种数据图表类型。

One of: "revenue", "mrr", "arr", "arppu", "subscriptions_active", "subscriptions_new", "subscriptions_renewal_cancelled", "subscriptions_expired", "trials_active", "trials_new", "trials_renewal_cancelled", "trials_expired", "grace_period", "billing_issue", "refund_events", "refund_money", "non_subscriptions", "arpu", "installs"

filtersobjectrequired
datearray of stringrequired

输入您希望检索数据图表数据的日期或时间段

compare_datearray of string

输入用于对比的日期或时间段

storearray of string

按购买所在的应用商店筛选

countryarray of string

按购买发生地的两字母国家代码筛选

store_product_idarray of string

带商店前缀的产品 ID，格式为 <store>:<product_id>，例如 app_store:premium_monthly 或 play_store:premium_sub:monthly-base-plan（含基础方案的 Google 订阅）。不带商店前缀的纯产品 ID 将被拒绝。

durationarray of string

指定订阅时长

attribution_sourcearray of string

归因的来源集成

attribution_statusarray of string

指示归因是自然流量还是非自然流量

attribution_channelarray of string

带来该交易的营销渠道

attribution_campaignarray of string

带来该交易的营销活动

attribution_adgrouparray of string

带来该交易的归因广告组

attribution_adsetarray of string

带来该交易的归因广告集

attribution_creativearray of string

广告或营销活动中用于衡量效果的具体视觉或文字素材

offer_categoryarray of string

指定您希望检索数据的优惠类别

offer_typearray of string

指定您希望检索数据的优惠类型

offer_idarray of string

指定您希望检索数据的具体优惠

placement_idarray of string

用于检索数据的版位在 Adapty 内部的 ID——即版位在 Adapty 看板 URL 中的 UUID，而非传递给 SDK 的版位 ID

audience_idarray of string

用于检索数据的版位目标受众在 Adapty 内部的 ID

paywall_idarray of string

用于检索数据的付费墙在 Adapty 内部的 ID——即付费墙在 Adapty 看板 URL 中的 UUID

flow_idarray of string

用于检索数据的流程在 Adapty 内部的 ID——即流程在 Adapty 看板 URL 中的 UUID

flow_screen_idarray of string

用于检索数据的流程屏幕，每项格式为 <flow_id>:<screen_id>，例如 3f8a1c2e-0b7d-4e5a-9c61-2d4f8e7b1a90:paywall

segment_idarray of string

用于检索数据的市场细分在 Adapty 内部的 ID

period_unitstring

指定聚合分析数据的时间间隔

One of: "day", "week", "month", "quarter", "year"

date_typestring

指定应将哪个日期视为用户加入日期

One of: "purchase_date", "profile_install_date"

segmentationstring

按此维度的每个值将数据拆分为独立的数据系列。例如，flow_id 为每个流程返回单独的数据系列，placement_id 为每个版位返回单独的数据系列。

One of: "period", "renewal_status", "cancellation_reason", "store_product_id", "country", "store", "paywall_id", "audience_id", "placement_id", "flow_id", "flow_screen_id", "segment_id", "duration", "offer_category", "offer_type", "offer_id", "attribution_source", "attribution_status", "attribution_channel", "attribution_campaign", "attribution_adgroup", "attribution_adset", "attribution_creative", "day", "week", "month", "year"

formatstring

指定导出文件格式

One of: "json", "csv"

Responses

分析数据获取成功

Schema

包含所请求数据图表类型的分析数据的响应

dataobject

包含不同数据图表类型（revenue、proceeds、net_revenue 等）的对象

Example 
{
  "data": {
    "revenue": {
      "data": [],
      "value": 0,
      "value_from": null,
      "value_to": null,
      "compare_value_from": null,
      "compare_value_to": null,
      "title": "revenue",
      "type": "multi",
      "default_aggregation": "sum",
      "description": "<div>Total money received from both subscriptions and one-time purchases. Does not include\nrevenue from subscriptions and purchases that were refunded afterward. Calculated before the store's fee.<br />\nFor example, there were 5 monthly $10 subs, 1 yearly $100 sub and 10 one-time $50 purchases today,<br />\nrevenue = 5*$10 + 1*$100 + 10*$50 = $650</div>",
      "metric_name": "Revenue",
      "is_json": true,
      "unit": "USD",
      "recommended_period": null
    },
    "proceeds": {
      "data": [],
      "value": 0,
      "value_from": null,
      "value_to": null,
      "compare_value_from": null,
      "compare_value_to": null,
      "title": "revenue",
      "type": "multi",
      "default_aggregation": "sum",
      "description": "<div>Total money received from both subscriptions and one-time purchases. Does not include\nrevenue from subscriptions and purchases that were refunded afterward. Calculated before the store's fee.<br />\nFor example, there were 5 monthly $10 subs, 1 yearly $100 sub and 10 one-time $50 purchases today,<br />\nrevenue = 5*$10 + 1*$100 + 10*$50 = $650</div>",
      "metric_name": "Revenue",
      "is_json": true,
      "unit": "USD",
      "recommended_period": null
    },
    "net_revenue": {
      "data": [],
      "value": 0,
      "value_from": null,
      "value_to": null,
      "compare_value_from": null,
      "compare_value_to": null,
      "title": "revenue",
      "type": "multi",
      "default_aggregation": "sum",
      "description": "<div>Total money received from both subscriptions and one-time purchases. Does not include\nrevenue from subscriptions and purchases that were refunded afterward. Calculated before the store's fee.<br />\nFor example, there were 5 monthly $10 subs, 1 yearly $100 sub and 10 one-time $50 purchases today,<br />\nrevenue = 5*$10 + 1*$100 + 10*$50 = $650</div>",
      "metric_name": "Revenue",
      "is_json": true,
      "unit": "USD",
      "recommended_period": null
    }
  }
}

请求无效

Schema
errorsarray of object
sourcestring
errorsarray of string
error_codestring
status_codeinteger

未授权

Schema
errorsarray of object
sourcestring
errorsarray of string
error_codestring
status_codeinteger

超出速率限制。每个应用每秒最多 2 次请求，由该应用的所有 API 密钥共享。