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xiaozhozho

akshare-mcp

by xiaozhozho

akshare_other

Access alternative and miscellaneous datasets including air quality, movie box office, car sales, wealth rankings, news, and economic indicators for research and analysis.

Instructions

Alternative and miscellaneous data: air quality, bank penalties, weather (sunrise/sunset), movie box office & TV ratings, game rankings, car sales, wealth rankings (Hurun, Forbes, Bloomberg), news (CCTV, Baidu), NLP/knowledge graph, migration indices, high-frequency S&P 500 data, realized volatility, repo rates, interest rates, REITs, QDII funds, economic events, and more.

Available Methods

  • air_city_table() 真气网-空气质量历史数据查询-全部城市列表

  • air_quality_hebei() 河北省空气质量预报信息发布系统-空气质量预报, 未来 6 天

  • air_quality_hist(city='杭州', period='day', start_date='20190327', end_date='20200427') 真气网-空气历史数据

  • air_quality_rank(date='') 真气网-168 城市 AQI 排行榜

  • air_quality_watch_point(city='杭州', start_date='20220408', end_date='20220409') 真气网-监测点空气质量-细化到具体城市的每个监测点

  • article_epu_index(symbol='China') 经济政策不确定性指数

  • article_ff_crr() FF多因子模型

  • article_oman_rv(symbol='FTSE', index='rk_th2') Oxford-Man Institute of Quantitative Finance Realized Library 的数据

  • article_oman_rv_short(symbol='FTSE') Oxford-Man Institute of Quantitative Finance Realized Library 的数据

  • article_rlab_rv(symbol='39693') 修大成主页-Risk Lab-Realized Volatility

  • bank_fjcf_table_detail(page=5, item='分局本级', begin=1) 获取 首页-政务信息-行政处罚-银保监分局本级-XXXX行政处罚信息公开表 数据

  • business_value_artist() 艺恩-艺人-艺人商业价值

  • car_market_cate_cpca(symbol='轿车', indicator='批发') 乘联会-统计数据-车型大类

  • car_market_country_cpca() 乘联会-统计数据-国别细分市场

  • car_market_fuel_cpca(symbol='整体市场') 乘联会-统计数据-新能源细分市场

  • car_market_man_rank_cpca(symbol='狭义乘用车-单月', indicator='批发') 乘联会-统计数据-厂商排名

  • car_market_segment_cpca(symbol='轿车') 乘联会-统计数据-级别细分市场

  • car_market_total_cpca(symbol='狭义乘用车', indicator='产量') 乘联会-统计数据-总体市场

  • car_sale_rank_gasgoo(symbol='车企榜', date='202109') 盖世汽车-汽车行业制造企业数据库-销量数据

  • forbes_rank(symbol='2021福布斯中国创投人100') 福布斯中国-榜单

  • fred_md(date='2020-01') The accompanying paper shows that factors extracted from the FRED-MD dataset share the same predictive content as those based on the various vintages of the so-

  • fred_qd(date='2020-01') FRED-QD is a quarterly frequency companion to FRED-MD. It is designed to emulate the dataset used in "Disentangling the Channels of the 2007-2009 Recession" by

  • game_hot_rank_taptap(symbol='热玩榜') TapTap-游戏榜单

  • hf_sp_500(year='2017') S&P 500 minute data from 2012-2018

  • hurun_rank(indicator='胡润百富榜', year='2023') 胡润排行榜

  • index_bloomberg_billionaires() Bloomberg Billionaires Index

  • index_bloomberg_billionaires_hist(year='2021') Bloomberg Billionaires Index

  • migration_area_baidu(area='重庆市', indicator='move_in', date='20230922') 百度地图慧眼-百度迁徙-XXX迁入地详情

  • migration_scale_baidu(area='广州市', indicator='move_in') 百度地图慧眼-百度迁徙-迁徙规模

  • movie_boxoffice_cinema_daily(date='20240219') 电影票房-影院票房-日票房排行

  • movie_boxoffice_cinema_weekly(date='20240219') 电影票房-影院票房-周票房排行

  • movie_boxoffice_daily(date='20240219') 电影票房-单日票房

  • movie_boxoffice_monthly(date='20240218') 电影票房-单月票房

  • movie_boxoffice_realtime() 电影票房-实时票房

  • movie_boxoffice_weekly(date='20240218') 电影票房-单周票房

  • movie_boxoffice_yearly(date='20240218') 电影票房-年度票房

  • movie_boxoffice_yearly_first_week(date='20201018') 电影票房-年度票房-年度首周票房

  • news_cctv(date='20240424') 新闻联播文字稿

  • news_economic_baidu(date='20251126', cookie=None) 百度股市通-经济数据

  • news_report_time_baidu(date='20251126', cookie=None) 百度股市通-财报发行

  • news_trade_notify_dividend_baidu(date='20251126', cookie=None) 百度股市通-交易提醒-分红派息

  • news_trade_notify_suspend_baidu(date='20251126', cookie=None) 百度股市通-交易提醒-停复牌

  • nlp_answer(question='人工智能') 智能问答

  • nlp_ownthink(word='人工智能', indicator='entity') Knowledge Graph interface for financial research

  • online_value_artist() 艺恩-艺人-艺人流量价值

  • qdii_a_index_jsl(cookie='') 集思录-T+0 QDII-亚洲市场-亚洲指数

  • qdii_e_comm_jsl(cookie='') 集思录-T+0 QDII-欧美市场-商品

  • qdii_e_index_jsl(cookie='') 集思录-T+0 QDII-欧美市场-欧美指数

  • rate_interbank(market='上海银行同业拆借市场', symbol='Shibor人民币', indicator='隔夜') 东方财富-拆借利率一览-具体市场的具体品种的具体指标的拆借利率数据

  • reits_hist_em(symbol='508097') 东方财富网-行情中心-REITs-沪深 REITs-历史行情

  • reits_hist_min_em(symbol='508097') 东方财富网-行情中心-REITs-沪深 REITs-历史行情

  • reits_realtime_em() 东方财富网-行情中心-REITs-沪深 REITs

  • repo_rate_hist(start_date='20200930', end_date='20201029') 中国外汇交易中心暨全国银行间同业拆借中心-回购定盘利率-历史数据

  • repo_rate_query(symbol='回购定盘利率') 中国外汇交易中心暨全国银行间同业拆借中心-回购定盘利率-历史数据

  • rv_from_futures_zh_minute_sina(symbol='IF2008', period='5') 从新浪财经获取期货的分钟级历史行情数据,并进行数据清洗和格式化

  • rv_from_stock_zh_a_hist_min_em(symbol='000001', start_date='2021-10-20 09:30:00', end_date='2024-11-01 15:00:00', period='1', adjust='hfq') 从东方财富网获取股票的分钟级历史行情数据,并进行数据清洗和格式化为计算 yz 已实现波动率所需的数据格式

  • stock_news_em(symbol='603777') 东方财富-个股新闻-最近 100 条新闻

  • sunrise_daily(date='20240428', city='beijing') 每日日出日落数据

  • sunrise_monthly(date='20240428', city='beijing') 每个指定 date 所在月份的每日日出日落数据, 如果当前月份未到月底, 则以预测值填充

  • video_tv() 艺恩-视频放映-电视剧集

  • video_variety_show() 艺恩-视频放映-综艺节目

  • volatility_yz_rv(data) 波动率-已实现波动率-Yang-Zhang 已实现波动率(Yang-Zhang Realized Volatility)

  • xincaifu_rank(year='2022') 新财富 500 人富豪榜

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
adjustNo
methodYes
periodNo
symbolNo
end_dateNo
start_dateNo
params_jsonNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It does not mention any side effects, authorization needs, rate limits, or data freshness. The description merely lists endpoints without explaining behavior beyond what is obvious from method names.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely verbose, listing dozens of methods with Chinese descriptions, which makes it hard to scan. While the method list is useful, the overall structure is a wall of text. It could be shortened and organized into categories.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity and the presence of an output schema, the description is incomplete. It fails to explain how to construct the 'method' parameter, how parameters like 'params_json' work, or what the output format is. The method list is helpful but insufficient for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 8 parameters with 0% description coverage. The description does not explain any parameter, even the required 'method' parameter. Some method names in the list hint at possible values, but there is no systematic documentation of parameters like 'date', 'symbol', or 'params_json'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides 'alternative and miscellaneous data' and lists a wide range of categories (air quality, box office, etc.), distinguishing it from sibling tools that cover specific asset classes like bonds, stocks, or funds. However, it's more of a list than a concise statement of purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus its siblings. While it's implied that this tool covers data not handled by other akshare tools, there are no when-to-use or when-not-to-use instructions, nor any mention of prerequisites or limitations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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