风数据 API

风数据API提供详细的实时和历史天气数据,包括任何地点的温度、风速、压力、紫外线指数和降水量
通过 MCP 从您的 AI 代理使用此 API
支持 OpenClaw、Claude Code/Desktop、Cursor、Windsurf、Cline 以及任何兼容 MCP 的 AI 客户端。
文档和设置
通过封装此 MCP 创建技能: https://mcp.zylalabs.com/mcp?apikey=YOUR_ZYLA_API_KEY

关于API:  

风数据API提供详细且精准的实时和历史天气数据,全面概述全球当前和过去的天气状况。当用户查询API时,他们会收到与请求相关的最新天气信息,其中包括几个关键指标。当前温度以摄氏度显示,清楚地衡量指定地点的温暖或寒冷程度。API还提供天气的文字描述,例如“零星小雨”或“晴空万里”,并附有图形图标直观表示天气状况。此外,API详细说明风速和风向,显示风如何影响该时刻的天气。大气压力以百帕(hPa)表示,提供关于大气条件的洞察,并有助于天气预报。

除了当前天气数据,API还提供历史天气信息。这包括特定日期的记录最低和最高温度,为用户提供感兴趣地点的历史温度范围。平均每日温度也包括在内,帮助用户理解给定时期内的典型天气。历史日照时长以小时计算,并针对每一天进行规定,反映过去的日照时间。历史紫外线指数指示之前的紫外线辐射水平,而历史降水数据则显示总降雨或降雪量及其在一天中的分布。

为了更全面的分析,API提供长期天气状况的数据。这包括最低、最高和平均温度的汇总,以及这些时期的总降水量。还提供日照小时和紫外线指数的信息,全面展现天气状况随时间的演变。

总而言之,风数据API是获取全球天气状况深入理解的重要资源。它使用户能够分析当前天气和历史趋势,成为天气分析和预报的宝贵工具。

 

该API接收什么以及您的API提供什么(输入/输出)?

输入纬度、经度或城市,您将获得当前或历史风数据。

 

该API的最常见使用案例是什么?

  1. 海事导航系统: 海事导航系统可以集成风API,为船只和舰艇提供实时风数据。船长和导航员可以做出明智的路线和速度决策,确保安全高效的航行,同时最小化燃油消耗并最大化货物安全。

  2. 航空天气服务: 航空公司和航空服务可以利用风API增强其天气相关服务。飞行员和航班规划人员可以访问准确的风信息,优化飞行路径、起飞和着陆程序。这确保了更平稳的飞行,减少了颠簸,为整体航空安全提供了保障。

  3. 可再生能源规划: 风力发电场和其他可再生能源项目高度依赖风向。风API可以帮助预测为期4天的风况,使可再生能源公司能够优化风力涡轮机的位置和操作。这确保通过利用最有利的风速实现最大能量产生。

  4. 户外活动规划: 体育赛事、音乐会或节日等户外活动的组织者可以从风API中受益。通过提前了解风况,组织者可以相应规划活动布局、舞台设置和座位安排。这确保活动结构的安全性和稳定性,增强与会者的安全和愉悦感。

  5. 灾害响应和紧急管理: 在飓风或野火等自然灾害期间,紧急响应团队可以利用风API预测风向。这一信息对于规划撤离、设置应急避难所以及有效部署资源至关重要。准确的风预报帮助当局及时做出决策,确保受影响人群的安全。

 

您的计划是否有任何限制?

除了计划中可用的API调用数量外,没有其他限制。

API 文档

端点


如果您除了位置还指明了一个国家,您必须按照以下方式在参数中指明值:意大利罗马



                                                                            
GET https://www.zylalabs.com/api/5000/wind+data+api/6306/winds+by+location
                                                                            
                                                                        

按地点的风 - 端点功能

对象 描述
query [必需] Insert a city
测试端点

API 示例响应

       
                                                                                                        
                                                                                                                                                                                                                                                                                                                                        {"request":{"type":"City","query":"Berlin, Germany","language":"en","unit":"m"},"location":{"name":"Berlin","country":"Germany","region":"Berlin","lat":"52.517","lon":"13.400","timezone_id":"Europe\/Berlin","localtime":"2024-09-05 22:34","localtime_epoch":1725575640,"utc_offset":"2.0"},"current":{"observation_time":"08:34 PM","temperature":24,"weather_code":113,"weather_icons":["https:\/\/cdn.worldweatheronline.com\/images\/wsymbols01_png_64\/wsymbol_0008_clear_sky_night.png"],"weather_descriptions":["Clear"],"wind_speed":20,"wind_degree":80,"wind_dir":"E","pressure":1015,"precip":0,"humidity":44,"cloudcover":0,"feelslike":24,"uv_index":1,"visibility":10,"is_day":"no"}}
                                                                                                                                                                                                                    
                                                                                                    

按地点的风 - 代码片段


curl --location --request GET 'https://zylalabs.com/api/5000/wind+data+api/6306/winds+by+location?query=Berlin' --header 'Authorization: Bearer YOUR_API_KEY' 


    

要使用此端点,您必须在参数中指明纬度和经度



                                                                            
GET https://www.zylalabs.com/api/5000/wind+data+api/6307/get+winds+by+coordinates
                                                                            
                                                                        

通过坐标获取风信息 - 端点功能

对象 描述
query [必需] Insert a latitude and longitude
测试端点

API 示例响应

       
                                                                                                        
                                                                                                                                                                                                                                                                                                                                        {"request":{"type":"LatLon","query":"Lat 39.90 and Lon 116.41","language":"en","unit":"m"},"location":{"name":"Beijing","country":"China","region":"Beijing","lat":"39.929","lon":"116.388","timezone_id":"Asia\/Shanghai","localtime":"2024-09-06 04:36","localtime_epoch":1725597360,"utc_offset":"8.0"},"current":{"observation_time":"08:36 PM","temperature":18,"weather_code":113,"weather_icons":["https:\/\/cdn.worldweatheronline.com\/images\/wsymbols01_png_64\/wsymbol_0008_clear_sky_night.png"],"weather_descriptions":["Clear"],"wind_speed":4,"wind_degree":10,"wind_dir":"N","pressure":1016,"precip":0,"humidity":94,"cloudcover":0,"feelslike":18,"uv_index":1,"visibility":10,"is_day":"no"}}
                                                                                                                                                                                                                    
                                                                                                    

通过坐标获取风信息 - 代码片段


curl --location --request GET 'https://zylalabs.com/api/5000/wind+data+api/6307/get+winds+by+coordinates?query=39.9042,116.4074' --header 'Authorization: Bearer YOUR_API_KEY' 


    

要使用此端点,您必须在参数中指明城市的名称和日期。

您还可以选择一个可选参数,指明是否希望 API 返回按每小时划分的天气数据(1 或 0)。0 是默认值。

返回的数据截止到 2021 年。



                                                                            
GET https://www.zylalabs.com/api/5000/wind+data+api/6308/historical+winds
                                                                            
                                                                        

历史的风 - 端点功能

对象 描述
query [必需] Insert a city
historical_date [必需] Insert a date
hourly 可选 Enter 1 to split the weather data by hours or 0 not to split.
测试端点

API 示例响应

       
                                                                                                        
                                                                                                                                                                                                                                                                                                                                        {"request":{"type":"City","query":"Berlin, Germany","language":"en","unit":"m"},"location":{"name":"Berlin","country":"Germany","region":"Berlin","lat":"52.517","lon":"13.400","timezone_id":"Europe\/Berlin","localtime":"2024-09-05 22:37","localtime_epoch":1725575820,"utc_offset":"2.0"},"current":{"observation_time":"08:37 PM","temperature":24,"weather_code":113,"weather_icons":["https:\/\/cdn.worldweatheronline.com\/images\/wsymbols01_png_64\/wsymbol_0008_clear_sky_night.png"],"weather_descriptions":["Clear"],"wind_speed":20,"wind_degree":80,"wind_dir":"E","pressure":1015,"precip":0,"humidity":44,"cloudcover":0,"feelslike":24,"uv_index":1,"visibility":10,"is_day":"no"},"historical":{"2024-07-07":{"date":"2024-07-07","date_epoch":1720310400,"astro":{"sunrise":"04:53 AM","sunset":"09:29 PM","moonrise":"05:50 AM","moonset":"11:00 PM","moon_phase":"Waxing Crescent","moon_illumination":2},"mintemp":14,"maxtemp":22,"avgtemp":18,"totalsnow":0,"sunhour":17,"uv_index":5}}}
                                                                                                                                                                                                                    
                                                                                                    

历史的风 - 代码片段


curl --location --request GET 'https://zylalabs.com/api/5000/wind+data+api/6308/historical+winds?query=Berlin&historical_date=2024-07-07' --header 'Authorization: Bearer YOUR_API_KEY' 


    

要使用此端点,您必须在参数中指定城市、开始日期和结束日期。

 



                                                                            
GET https://www.zylalabs.com/api/5000/wind+data+api/6309/historical+data+series
                                                                            
                                                                        

历史数据系列 - 端点功能

对象 描述
historical_date_start [必需] Indicates a start date
historical_date_end [必需] Indicates an end date
query [必需] Insert a city
测试端点

API 示例响应

       
                                                                                                        
                                                                                                                                                                                                                                                                                                                                        {"request":{"type":"City","query":"Berlin, Germany","language":"en","unit":"m"},"location":{"name":"Berlin","country":"Germany","region":"Berlin","lat":"52.517","lon":"13.400","timezone_id":"Europe\/Berlin","localtime":"2024-09-05 22:37","localtime_epoch":1725575820,"utc_offset":"2.0"},"current":{"observation_time":"08:37 PM","temperature":24,"weather_code":113,"weather_icons":["https:\/\/cdn.worldweatheronline.com\/images\/wsymbols01_png_64\/wsymbol_0008_clear_sky_night.png"],"weather_descriptions":["Clear"],"wind_speed":20,"wind_degree":80,"wind_dir":"E","pressure":1015,"precip":0,"humidity":44,"cloudcover":0,"feelslike":24,"uv_index":1,"visibility":10,"is_day":"no"},"historical":{"2024-07-07":{"date":"2024-07-07","date_epoch":1720310400,"astro":{"sunrise":"04:53 AM","sunset":"09:29 PM","moonrise":"05:50 AM","moonset":"11:00 PM","moon_phase":"Waxing Crescent","moon_illumination":2},"mintemp":14,"maxtemp":22,"avgtemp":18,"totalsnow":0,"sunhour":17,"uv_index":5},"2024-07-08":{"date":"2024-07-08","date_epoch":1720396800,"astro":{"sunrise":"04:54 AM","sunset":"09:29 PM","moonrise":"07:10 AM","moonset":"11:17 PM","moon_phase":"Waxing Crescent","moon_illumination":10},"mintemp":15,"maxtemp":25,"avgtemp":20,"totalsnow":0,"sunhour":17,"uv_index":5},"2024-07-09":{"date":"2024-07-09","date_epoch":1720483200,"astro":{"sunrise":"04:55 AM","sunset":"09:28 PM","moonrise":"08:27 AM","moonset":"11:29 PM","moon_phase":"Waxing Crescent","moon_illumination":17},"mintemp":17,"maxtemp":31,"avgtemp":25,"totalsnow":0,"sunhour":17,"uv_index":6},"2024-07-10":{"date":"2024-07-10","date_epoch":1720569600,"astro":{"sunrise":"04:56 AM","sunset":"09:27 PM","moonrise":"09:42 AM","moonset":"11:39 PM","moon_phase":"Waxing Crescent","moon_illumination":24},"mintemp":21,"maxtemp":32,"avgtemp":25,"totalsnow":0,"sunhour":12,"uv_index":6},"2024-07-11":{"date":"2024-07-11","date_epoch":1720656000,"astro":{"sunrise":"04:57 AM","sunset":"09:26 PM","moonrise":"10:54 AM","moonset":"11:48 PM","moon_phase":"Waxing Crescent","moon_illumination":32},"mintemp":20,"maxtemp":26,"avgtemp":23,"totalsnow":0,"sunhour":8,"uv_index":5},"2024-07-12":{"date":"2024-07-12","date_epoch":1720742400,"astro":{"sunrise":"04:59 AM","sunset":"09:25 PM","moonrise":"12:05 PM","moonset":"11:56 PM","moon_phase":"Waxing Crescent","moon_illumination":39},"mintemp":19,"maxtemp":29,"avgtemp":22,"totalsnow":0,"sunhour":12,"uv_index":5},"2024-07-13":{"date":"2024-07-13","date_epoch":1720828800,"astro":{"sunrise":"05:00 AM","sunset":"09:24 PM","moonrise":"01:16 PM","moonset":"No moonset","moon_phase":"First Quarter","moon_illumination":46},"mintemp":15,"maxtemp":24,"avgtemp":19,"totalsnow":0,"sunhour":7,"uv_index":4},"2024-07-14":{"date":"2024-07-14","date_epoch":1720915200,"astro":{"sunrise":"05:01 AM","sunset":"09:23 PM","moonrise":"02:28 PM","moonset":"12:05 AM","moon_phase":"First Quarter","moon_illumination":53},"mintemp":16,"maxtemp":27,"avgtemp":21,"totalsnow":0,"sunhour":16,"uv_index":6},"2024-07-15":{"date":"2024-07-15","date_epoch":1721001600,"astro":{"sunrise":"05:02 AM","sunset":"09:22 PM","moonrise":"03:44 PM","moonset":"12:15 AM","moon_phase":"First Quarter","moon_illumination":61},"mintemp":17,"maxtemp":27,"avgtemp":23,"totalsnow":0,"sunhour":16,"uv_index":6},"2024-07-16":{"date":"2024-07-16","date_epoch":1721088000,"astro":{"sunrise":"05:04 AM","sunset":"09:21 PM","moonrise":"05:03 PM","moonset":"12:29 AM","moon_phase":"Waxing Gibbous","moon_illumination":68},"mintemp":18,"maxtemp":27,"avgtemp":21,"totalsnow":0,"sunhour":9,"uv_index":6},"2024-07-17":{"date":"2024-07-17","date_epoch":1721174400,"astro":{"sunrise":"05:05 AM","sunset":"09:20 PM","moonrise":"06:22 PM","moonset":"12:47 AM","moon_phase":"Waxing Gibbous","moon_illumination":75},"mintemp":17,"maxtemp":24,"avgtemp":21,"totalsnow":0,"sunhour":14,"uv_index":6},"2024-07-18":{"date":"2024-07-18","date_epoch":1721260800,"astro":{"sunrise":"05:06 AM","sunset":"09:19 PM","moonrise":"07:38 PM","moonset":"01:15 AM","moon_phase":"Waxing Gibbous","moon_illumination":82},"mintemp":15,"maxtemp":27,"avgtemp":21,"totalsnow":0,"sunhour":16,"uv_index":6},"2024-07-19":{"date":"2024-07-19","date_epoch":1721347200,"astro":{"sunrise":"05:08 AM","sunset":"09:17 PM","moonrise":"08:41 PM","moonset":"01:57 AM","moon_phase":"Waxing Gibbous","moon_illumination":90},"mintemp":18,"maxtemp":29,"avgtemp":24,"totalsnow":0,"sunhour":16,"uv_index":6},"2024-07-20":{"date":"2024-07-20","date_epoch":1721433600,"astro":{"sunrise":"05:09 AM","sunset":"09:16 PM","moonrise":"09:28 PM","moonset":"02:58 AM","moon_phase":"Waxing Gibbous","moon_illumination":97},"mintemp":20,"maxtemp":31,"avgtemp":25,"totalsnow":0,"sunhour":16,"uv_index":7},"2024-07-21":{"date":"2024-07-21","date_epoch":1721520000,"astro":{"sunrise":"05:10 AM","sunset":"09:15 PM","moonrise":"09:59 PM","moonset":"04:18 AM","moon_phase":"Full Moon","moon_illumination":100},"mintemp":20,"maxtemp":33,"avgtemp":27,"totalsnow":0,"sunhour":16,"uv_index":7},"2024-07-22":{"date":"2024-07-22","date_epoch":1721606400,"astro":{"sunrise":"05:12 AM","sunset":"09:13 PM","moonrise":"10:20 PM","moonset":"05:50 AM","moon_phase":"Waxing Gibbous","moon_illumination":88},"mintemp":20,"maxtemp":26,"avgtemp":22,"totalsnow":0,"sunhour":5,"uv_index":5},"2024-07-23":{"date":"2024-07-23","date_epoch":1721692800,"astro":{"sunrise":"05:13 AM","sunset":"09:12 PM","moonrise":"10:36 PM","moonset":"07:24 AM","moon_phase":"Waxing Gibbous","moon_illumination":81},"mintemp":16,"maxtemp":26,"avgtemp":20,"totalsnow":0,"sunhour":11,"uv_index":6},"2024-07-24":{"date":"2024-07-24","date_epoch":1721779200,"astro":{"sunrise":"05:15 AM","sunset":"09:11 PM","moonrise":"10:48 PM","moonset":"08:56 AM","moon_phase":"Waning Gibbous","moon_illumination":74},"mintemp":16,"maxtemp":23,"avgtemp":19,"totalsnow":0,"sunhour":10,"uv_index":4},"2024-07-25":{"date":"2024-07-25","date_epoch":1721865600,"astro":{"sunrise":"05:16 AM","sunset":"09:09 PM","moonrise":"11:00 PM","moonset":"10:25 AM","moon_phase":"Waning Gibbous","moon_illumination":67},"mintemp":13,"maxtemp":24,"avgtemp":19,"totalsnow":0,"sunhour":16,"uv_index":5},"2024-07-26":{"date":"2024-07-26","date_epoch":1721952000,"astro":{"sunrise":"05:18 AM","sunset":"09:08 PM","moonrise":"11:11 PM","moonset":"11:53 AM","moon_phase":"Waning Gibbous","moon_illumination":59},"mintemp":18,"maxtemp":23,"avgtemp":20,"totalsnow":0,"sunhour":14,"uv_index":5},"2024-07-27":{"date":"2024-07-27","date_epoch":1722038400,"astro":{"sunrise":"05:19 AM","sunset":"09:06 PM","moonrise":"11:24 PM","moonset":"01:21 PM","moon_phase":"Last Quarter","moon_illumination":52},"mintemp":18,"maxtemp":22,"avgtemp":19,"totalsnow":0,"sunhour":1,"uv_index":4},"2024-07-28":{"date":"2024-07-28","date_epoch":1722124800,"astro":{"sunrise":"05:21 AM","sunset":"09:04 PM","moonrise":"11:40 PM","moonset":"02:50 PM","moon_phase":"Last Quarter","moon_illumination":45},"mintemp":16,"maxtemp":22,"avgtemp":19,"totalsnow":0,"sunhour":7,"uv_index":4},"2024-07-29":{"date":"2024-07-29","date_epoch":1722211200,"astro":{"sunrise":"05:22 AM","sunset":"09:03 PM","moonrise":"No moonrise","moonset":"04:18 PM","moon_phase":"Last Quarter","moon_illumination":38},"mintemp":13,"maxtemp":24,"avgtemp":19,"totalsnow":0,"sunhour":16,"uv_index":5},"2024-07-30":{"date":"2024-07-30","date_epoch":1722297600,"astro":{"sunrise":"05:24 AM","sunset":"09:01 PM","moonrise":"12:01 AM","moonset":"05:43 PM","moon_phase":"Last Quarter","moon_illumination":30},"mintemp":15,"maxtemp":27,"avgtemp":21,"totalsnow":0,"sunhour":16,"uv_index":6}}}
                                                                                                                                                                                                                    
                                                                                                    

历史数据系列 - 代码片段


curl --location --request GET 'https://zylalabs.com/api/5000/wind+data+api/6309/historical+data+series?historical_date_start=2024-07-07&historical_date_end=2024-07-30&query=Berlin' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API 访问密钥和身份验证

注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 风数据 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。
标头
标头 描述
授权 [必需] 应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。

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风数据 API FAQs

风数据 API 提供详细的天气数据,专注于风况和其他相关天气信息

风数据API汇总来自各个气象站、卫星和气象来源的实时风数据。它利用先进的算法处理并提供特定地理位置的精确风速和风向信息

是的,风数据API旨在便于集成。它支持多种编程语言和框架,允许无缝集成到移动应用程序、网站和其他软件应用中

风数据API提供参数,您可以指示位置、坐标和日期。它提供详细的当前和历史天气数据,如温度、天气描述、风速和方向、气压、湿度、云量和降水量

风数据 API 的数据实时更新,确保用户获得最新和最准确的风信息

每个端点返回天气数据,包括当前状况、历史记录以及详细指标,如温度、风速、风向、气压、湿度和降水量。对于历史数据,还包括最低和最高温度、紫外线指数和日照小时数

响应中的关键字段包括温度 风速 风向 压力 湿度 天气描述和紫外线指数 历史响应还包括最低温度 最高温度 平均温度和日照小时

参数包括位置(城市名称或坐标)、日期(用于历史数据)和用于小时数据的可选标志。例如,您可以指定“德国柏林”或经纬度值以进行精确查询

响应数据采用JSON格式结构化,包含请求详情、位置信息、当前天气和历史数据的部分。每个部分都有明确的标签,便于解析和使用

风数据API从气象站、卫星和气象组织的组合中获取数据。这种多源方法提高了数据的准确性和可靠性

每个端点提供当前天气状况、特定日期的历史天气数据以及随时间的总结。这包括风速指标、温度范围、紫外线指数和降水细节

用户可以通过指定地点(城市或坐标)、历史数据日期以及是否接收小时细分来定制请求。这种灵活性允许根据用户需求定制数据检索

典型的用例包括海洋导航 航空规划 可再生能源优化 户外活动管理 和灾害响应 每个应用都从准确的风和天气数据中受益,以便做出明智的决策

一般常见问题

Zyla API Hub 就像一个大型 API 商店,您可以在一个地方找到数千个 API。我们还为所有 API 提供专门支持和实时监控。注册后,您可以选择要使用的 API。请记住,每个 API 都需要自己的订阅。但如果您订阅多个 API,您将为所有这些 API 使用相同的密钥,使事情变得更简单。

价格以 USD(美元)、EUR(欧元)、CAD(加元)、AUD(澳元)和 GBP(英镑)列出。我们接受所有主要的借记卡和信用卡。我们的支付系统使用最新的安全技术,由 Stripe 提供支持,Stripe 是世界上最可靠的支付公司之一。如果您在使用卡片付款时遇到任何问题,请通过 [email protected]


此外,如果您已经以这些货币中的任何一种(USD、EUR、CAD、AUD、GBP)拥有有效订阅,该货币将保留用于后续订阅。只要您没有任何有效订阅,您可以随时更改货币。

定价页面上显示的本地货币基于您 IP 地址的国家/地区,仅供参考。实际价格以 USD(美元)为单位。当您付款时,即使您在我们的网站上看到以本地货币显示的等值金额,您的卡片对账单上也会以美元显示费用。这意味着您不能直接使用本地货币付款。

有时,银行可能会因其欺诈保护设置而拒绝收费。我们建议您首先联系您的银行,检查他们是否阻止了我们的收费。此外,您可以访问账单门户并更改关联的卡片以进行付款。如果这些方法不起作用并且您需要进一步帮助,请通过 [email protected]

价格由月度或年度订阅决定,具体取决于所选计划。

API 调用根据成功请求从您的计划中扣除。每个计划都包含您每月可以进行的特定数量的调用。只有成功的调用(由状态 200 响应指示)才会计入您的总数。这确保失败或不完整的请求不会影响您的月度配额。

Zyla API Hub 采用月度订阅系统。您的计费周期将从您购买付费计划的那一天开始,并在下个月的同一日期续订。因此,如果您想避免未来的费用,请提前取消订阅。

要升级您当前的订阅计划,只需转到 API 的定价页面并选择您要升级到的计划。升级将立即生效,让您立即享受新计划的功能。请注意,您之前计划中的任何剩余调用都不会转移到新计划,因此在升级时请注意这一点。您将被收取新计划的全部金额。

要检查您本月剩余多少 API 调用,请参考响应标头中的 "X-Zyla-API-Calls-Monthly-Remaining" 字段。例如,如果您的计划允许每月 1,000 个请求,而您已使用 100 个,则响应标头中的此字段将显示 900 个剩余调用。

要查看您的计划允许的最大 API 请求数,请检查 "X-Zyla-RateLimit-Limit" 响应标头。例如,如果您的计划包括每月 1,000 个请求,此标头将显示 1,000。

"X-Zyla-RateLimit-Reset" 标头显示您的速率限制重置之前的秒数。这告诉您何时您的请求计数将重新开始。例如,如果它显示 3,600,则意味着还有 3,600 秒直到限制重置。

是的,您可以随时通过访问您的账户并在账单页面上选择取消选项来取消您的计划。请注意,升级、降级和取消会立即生效。此外,取消后,您将不再有权访问该服务,即使您的配额中还有剩余调用。

您可以通过我们的聊天渠道联系我们以获得即时帮助。我们始终在线,时间为上午 8 点至下午 5 点(EST)。如果您在该时间之后联系我们,我们将尽快回复您。此外,您可以通过 [email protected]

为了让您有机会在没有任何承诺的情况下体验我们的 API,我们提供 7 天免费试用,允许您免费进行最多 50 次 API 调用。此试用只能使用一次,因此我们建议将其应用于您最感兴趣的 API。虽然我们的大多数 API 都提供免费试用,但有些可能不提供。试用在 7 天后或您进行了 50 次请求后结束,以先发生者为准。如果您在试用期间达到 50 次请求限制,您需要"开始您的付费计划"以继续发出请求。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。或者,如果您在第 7 天之前不取消订阅,您的免费试用将结束,您的计划将自动计费,授予您访问计划中指定的所有 API 调用的权限。请记住这一点以避免不必要的费用。

7 天后,您将被收取试用期间订阅的计划的全额费用。因此,在试用期结束前取消很重要。因忘记及时取消而提出的退款请求不被接受。

当您订阅 API 免费试用时,您可以进行最多 50 次 API 调用。如果您希望超出此限制进行额外的 API 调用,API 将提示您执行"开始您的付费计划"。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。

付款订单在每月 20 日至 30 日之间处理。如果您在 20 日之前提交请求,您的付款将在此时间范围内处理。


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