How do I use akshare-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@akshare-mcp get the latest real-time quote for 000001" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

akshare-mcp

by xiaozhozho

Overview Schema Source Related Servers Score Discussions Admin

Python

Remote

Overview

akshare-mcp wraps AKShare — an open-source Chinese financial data library with 1000+ data functions — as a Model Context Protocol (MCP) server, enabling LLMs (Claude, etc.) to query Chinese financial data through standardized tool interfaces.

What you can query

Category	Examples
Stocks	Real-time quotes, historical bars, financial statements, board/industry indices, fund flow, margin trading, IPO data, LHB
Macroeconomics	GDP, CPI, PMI, money supply, interest rates — China, US, EU, Japan, etc.
Futures	Real-time/daily bars, settlement prices, open interest, warehouse receipts, basis analysis
Funds	Mutual fund NAV, ETF quotes & holdings, fund manager info, performance rankings
Bonds	Convertible bonds, treasury yields, corporate bonds, repo rates, NAFMII data
Options	CFFEX index options, SSE/SZSE ETF options, commodity options, Greeks, margin
Forex & Commodities	Exchange rates, gold/silver spot, crude oil, carbon emissions, hog prices
Indices	CSI/Shenwan/global indices, industry indices, index constituents
Alternative Data	Weather, news sentiment, migration, box office, wealth rankings, game rankings

Related MCP server: sfc-data-mcp

Quick Start

Installation

pip install akshare-mcp

Note: AKShare requires Python ≥ 3.10 and uses the numpy, pandas, and requests packages. These will be installed automatically.

Usage

Run the server:

akshare-mcp

You should see:

[akshare-mcp] Loaded 13 tools covering 1086 akshare functions

Integrating with Claude Desktop

Add to your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "akshare": {
      "command": "uvx",
      "args": ["akshare-mcp"]
    }
  }
}

If uvx is not available, use pip directly:

{
  "mcpServers": {
    "akshare": {
      "command": "python",
      "args": ["-m", "akshare_mcp.server"]
    }
  }
}

Integration with other MCP clients

Any MCP-compatible client can connect via stdio. The server listens on stdin/stdout and responds to the standard list_tools / call_tool requests.

Tools

akshare-mcp groups its 1000+ data functions into 13 category tools plus a discovery tool:

Category Tools

Tool	Functions	Category	Key Data
`akshare_stock_a`	226	A股行情	Real-time/historical quotes, IPO, LHB, technical indicators, market summaries
`akshare_stock_fundamental`	56	A股基本面	Financial statements, profit forecasts, ESG ratings, shareholders, dividends
`akshare_stock_hk_us`	36	港股美股	HK/US stock profiles, financials, quotes, exchange info
`akshare_stock_board_flow`	38	板块/资金流向	Concept & industry board indices, constituents, capital flow, north/south-bound connect
`akshare_stock_margin_other`	40	融资融券/其他	Margin trading, block trades, stock pledging, suspension/resumption, chip distribution
`akshare_macro`	225	宏观经济	China macro (GDP, CPI, PMI, M2, etc.), global macro (US, EU, JP, UK, AU, etc.)
`akshare_futures`	91	期货	Futures quotes, holdings, warehouse receipts, settlement, COT reports
`akshare_fund`	88	基金	Fund NAV, ETF quotes, manager profiles, performance rankings, AMAC stats
`akshare_bond`	46	债券	Convertible bonds, treasury yields, corporate bonds, repo, NAFMII
`akshare_index`	91	指数	CSI/Shenwan/global indices, sector analysis, index constituents
`akshare_option`	46	期权	Index/ETF/commodity options, Greeks, margin, option chains
`akshare_fx_commodity`	40	外汇/商品	Forex rates, energy, spot commodities, carbon emissions, crypto
`akshare_other`	63	其他数据	Air quality, movies, games, news, wealth rankings, QDII, REITs

Discovery Tool

Tool	Purpose
`akshare_discover`	Search functions by keyword across all categories

Common Tool Parameters

Every category tool accepts the same parameter interface:

Parameter	Type	Required	Description
`method`	`str`	Yes	The exact akshare function name to call (e.g. `stock_zh_a_hist`)
`params_json`	`str`	No	JSON-encoded keyword arguments for the function (default: `"{}"`)
`symbol`	`str`	No	Convenience shortcut; forwarded as keyword argument
`start_date`	`str`	No	Convenience shortcut (format: `YYYYMMDD`)
`end_date`	`str`	No	Convenience shortcut (format: `YYYYMMDD`)
`period`	`str`	No	Convenience shortcut (e.g. `daily`, `weekly`, `monthly`)
`adjust`	`str`	No	Convenience shortcut for stock price adjustment (`qfq`, `hfq`)
`date`	`str`	No	Convenience shortcut for single-date parameters

Tip: Use akshare_discover first to find the right method name, then call the parent tool with method=function_name.

Usage Examples

# Via akshare_discover:
#   query="spot_em" → found in akshare_stock_a
# Then:
call_tool("akshare_stock_a", {
  "method": "stock_zh_a_spot_em"
})

Query historical stock data

call_tool("akshare_stock_a", {
  "method": "stock_zh_a_hist",
  "symbol": "300693",
  "period": "daily",
  "start_date": "20250101",
  "end_date": "20250708"
})

Query macroeconomic GDP data

call_tool("akshare_macro", {
  "method": "macro_china_gdp_yearly"
})

Search for a function

call_tool("akshare_discover", {
  "query": "gdp"
})
# Returns matching functions grouped by tool

Convertible bond market

call_tool("akshare_bond", {
  "method": "bond_zh_hs_cov_spot"
})

Fund flow by stock

call_tool("akshare_stock_board_flow", {
  "method": "stock_fund_flow_individual",
  "symbol": "300693"
})

Development

Setup

git clone https://github.com/xiaozhozho/akshare-mcp.git
cd akshare-mcp
pip install -e ".[dev]"

Run tests

python -m pytest tests/ -v

51 tests covering:

DataFrame serialization (NaN/NaT/inf handling, datetime conversion, truncation)
CategoryDispatcher (function dispatch, parameter merging, error wrapping)
Error handling (akshare exception hierarchy, decorator pattern)
ToolRegistry (auto-discovery, function assignment, cross-tool search)

Project structure

akshare-mcp/
├── pyproject.toml              # Build config (hatchling)
├── src/
│   └── akshare_mcp/
│       ├── server.py           # FastMCP entry point
│       ├── tools/
│       │   ├── base.py         # CategoryDispatcher base class
│       │   └── registry.py     # ToolRegistry + auto discovery
│       └── utils/
│           ├── dataframe.py    # DataFrame → JSON serialization
│           └── errors.py       # Error handling & wrapping
└── tests/                      # 51 pytest tests

How it works

Auto-discovery: ToolRegistry scans all public akshare callables at import time using inspect.getfile(), determines each function's source module, and assigns it to the appropriate category tool
Dispatch: Each category tool accepts a method parameter. The dispatcher resolves the function, merges convenience params with JSON params, calls akshare via asyncio.to_thread(), and serializes the resulting DataFrame
Error handling: All akshare exceptions (NetworkError, RateLimitError, InvalidParameterError, etc.) are caught and returned as structured error dicts — never raw exceptions
Serialization: DataFrames are converted to JSON with column metadata, row count, truncation handling, and proper NaN/NaT/inf → null conversion

Configuration

Environment Variable	Default	Description
`AKSHARE_MCP_MAX_ROWS`	`500`	Maximum rows returned per response

Architecture

┌─────────────────────────────────────────────────┐
│                   MCP Client                     │
│           (Claude Desktop, etc.)                 │
└──────────────┬──────────────────────┬────────────┘
               │  list_tools          │  call_tool
               ▼                      ▼
┌─────────────────────────────────────────────────┐
│              FastMCP (stdio transport)           │
├─────────────────────────────────────────────────┤
│  ToolRegistry (13 category dispatchers)          │
│  ┌──────────┐ ┌──────────┐ ┌──────────────────┐ │
│  │ stock_a  │ │ macro    │ │ discover         │ │
│  │ 226 funcs│ │ 225 funcs│ │ search + index    │ │
│  └──────────┘ └──────────┘ └──────────────────┘ │
├─────────────────────────────────────────────────┤
│  CategoryDispatcher                              │
│  ┌──────────┐ ┌──────────┐ ┌──────────────────┐ │
│  │ method → │ │ params →  │ │ asyncio.to_thread│ │
│  │ func     │ │ merge     │ │ → akshare call   │ │
│  └──────────┘ └──────────┘ └──────────────────┘ │
├─────────────────────────────────────────────────┤
│  Utils                                            │
│  ┌──────────┐ ┌──────────┐ ┌──────────────────┐ │
│  │dataframe │ │ errors   │ │ akshare library  │ │
│  │serialize │ │ wrap     │ │ ~1086 functions  │ │
│  └──────────┘ └──────────┘ └──────────────────┘ │
└─────────────────────────────────────────────────┘

License

Apache License 2.0

See LICENSE for the full license text.

AKShare — The underlying financial data library
AKTools — HTTP API wrapper for AKShare
MCP Python SDK — The MCP framework used

Available Tools

14 tools

akshare_bondC

Bond data: convertible bonds (可转债 — market snapshot, detailed info, premium analysis, index), government bonds (treasury yield curves, issuance calendar), corporate bonds, interbank market data (NAFMII), repo/buy-back data, bond index components, and ChinaBond indices.

Available Methods

bond_available_index_cbond() 中国债券信息网-中债指数-中债指数族系当中，非指定期限部分
bond_buy_back_hist_em(symbol='204001') 东方财富网-行情中心-债券市场-质押式回购-历史数据
bond_cash_summary_sse(date='20210111') 上登债券信息网-市场数据-市场统计-市场概览-债券现券市场概览
bond_cb_adj_logs_jsl(symbol='128013') 集思录-可转债转股价-调整记录
bond_cb_index_jsl() 首页-可转债-集思录可转债等权指数
bond_cb_jsl(cookie=None) 集思录可转债
bond_cb_profile_sina(symbol='sz128039') 新浪财经-债券-可转债-详情资料
bond_cb_redeem_jsl() 集思录可转债-强赎
bond_cb_summary_sina(symbol='sh155255') 新浪财经-债券-可转债-债券概况
bond_china_close_return(symbol='国债', period='1', start_date='20231101', end_date='20231101') 收盘收益率曲线历史数据
bond_china_close_return_map() 收盘收益率曲线历史数据
bond_china_yield(start_date='20200204', end_date='20210124') 中国债券信息网-国债及其他债券收益率曲线
bond_composite_index_cbond(indicator='财富', period='总值') 中国债券信息网-中债指数-中债指数族系-总指数-综合类指数-中债-综合指数
bond_corporate_issue_cninfo(start_date='20210911', end_date='20211110') 巨潮资讯-数据中心-专题统计-债券报表-债券发行-企业债发行
bond_cov_comparison() 东方财富网-行情中心-债券市场-可转债比价表
bond_cov_issue_cninfo(start_date='20210913', end_date='20211112') 巨潮资讯-数据中心-专题统计-债券报表-债券发行-可转债发行
bond_cov_stock_issue_cninfo() 巨潮资讯-数据中心-专题统计-债券报表-债券发行-可转债转股
bond_deal_summary_sse(date='20210104') 上登债券信息网-市场数据-市场统计-市场概览-债券成交概览
bond_debt_nafmii(page='1') 中国银行间市场交易商协会-非金融企业债务融资工具注册信息系统
bond_gb_us_sina(symbol='美国10年期国债') 新浪财经-债券-美国国债收益率行情数据
bond_gb_zh_sina(symbol='中国10年期国债') 新浪财经-债券-中国国债收益率行情数据
bond_index_general_cbond(index_category='新综合指数', indicator='全价', period='总值') 中国债券信息网-中债指数-中债指数族系
bond_info_cm(bond_name='', bond_code='', bond_issue='', bond_type='', coupon_type='', issue_year='', underwriter='', grade='') 中国外汇交易中心暨全国银行间同业拆借中心-数据-债券信息-信息查询
bond_info_cm_query(symbol='评级等级') 中国外汇交易中心暨全国银行间同业拆借中心-查询相关指标的参数
bond_info_detail_cm(symbol='淮安农商行CDSD2022021012') 中国外汇交易中心暨全国银行间同业拆借中心-数据-债券信息-信息查询-债券详情
bond_local_government_issue_cninfo(start_date='20210911', end_date='20211110') 巨潮资讯-数据中心-专题统计-债券报表-债券发行-地方债发行
bond_new_composite_index_cbond(indicator='财富', period='总值') 中国债券信息网-中债指数-中债指数族系-总指数-综合类指数-中债-新综合指数
bond_sh_buy_back_em() 东方财富网-行情中心-债券市场-上证质押式回购
bond_spot_deal() 中国外汇交易中心暨全国银行间同业拆借中心-市场数据-债券市场行情-现券市场成交行情
bond_spot_quote() 中国外汇交易中心暨全国银行间同业拆借中心-市场数据-债券市场行情-现券市场做市报价
bond_sz_buy_back_em() 东方财富网-行情中心-债券市场-深证质押式回购
bond_treasure_issue_cninfo(start_date='20210910', end_date='20211109') 巨潮资讯-数据中心-专题统计-债券报表-债券发行-国债发行
bond_treasury_index_cbond(indicator='财富', period='5Y') 中国债券信息网-中债指数-中债指数族系-总指数-综合类指数-中债-国债指数
bond_zh_cov() 东方财富网-数据中心-新股数据-可转债数据
bond_zh_cov_info(symbol='123121', indicator='基本信息') https://data.eastmoney.com/kzz/detail/123121.html
bond_zh_cov_info_ths() 同花顺-数据中心-可转债
bond_zh_cov_value_analysis(symbol='113527') https://data.eastmoney.com/kzz/detail/113527.html
bond_zh_hs_cov_daily(symbol='sh010107') 新浪财经-债券-沪深可转债的历史行情数据, 大量抓取容易封 IP
bond_zh_hs_cov_min(symbol='sz128039', period='15', adjust='', start_date='1979-09-01 09:32:00', end_date='2222-01-01 09:32:00') 东方财富网-可转债-分时行情
bond_zh_hs_cov_pre_min(symbol='sh113570') 东方财富网-可转债-分时行情-盘前
bond_zh_hs_cov_spot() 新浪财经-债券-沪深可转债的实时行情数据; 大量抓取容易封IP
bond_zh_hs_daily(symbol='sh010107') 新浪财经-债券-沪深债券-历史行情数据, 大量抓取容易封 IP
bond_zh_hs_spot(start_page='1', end_page='10') 新浪财经-债券-沪深债券-实时行情数据, 大量抓取容易封IP
bond_zh_us_rate(start_date='19901219') 东方财富网-数据中心-经济数据-中美国债收益率
macro_china_bond_public() 中国-债券信息披露-债券发行
macro_china_swap_rate(start_date='20231101', end_date='20231204') FR007 利率互换曲线历史数据; 只能获取近一年的数据

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2.7/5.0

Behavior3/5

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

No annotations provided, so description carries the burden. It does disclose IP bans (大量抓取容易封IP) for several methods and data recency limitations (只能获取近一年的数据) for one method. However, it does not systematically cover rate limits, authentication, or error behaviors across all methods.

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 overly long due to the extensive method list. While the opening line is concise, the majority is a dense enumeration that could be organized more efficiently (e.g., grouped by bond type). This structure hampers quick comprehension.

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—many sub-methods, 8 parameters, no annotations—the description is incomplete. It lacks guidance on method selection, parameter usage, expected output, and error handling. The presence of an output schema is not leveraged in the description.

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

Parameters2/5

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

Schema coverage is 0%, so description must compensate. It lists method signatures with example parameter values but does not explain the semantics of generic parameters like 'date', 'adjust', 'period', 'symbol', etc. The agent must infer from context, which is insufficient.

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 the tool provides bond data including convertible, government, corporate bonds, etc. It distinguishes from sibling tools which cover other asset classes. However, the opening is somewhat broad and the method list is detailed but lacks a concise overarching 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 siblings or which sub-method to choose. The description functions as a catalog, leaving the agent to infer usage. There is no mention of prerequisites or alternatives.

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

akshare_discoverA

Search for akshare functions by keyword across all data categories. Use this to find the right function and its parent tool before making a data request. Returns matching functions grouped by tool name. Call with an empty query to see the full tool/function index.

ParametersJSON Schema

Name	Required	Description	Default
`query`	No

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

A4.5/5.0

Behavior4/5

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

No annotations provided, so description carries full burden. It states 'Returns matching functions grouped by tool name' and that empty query returns full index. Does not mention side effects, auth, or limits, but for a search tool, the disclosed behavior is adequate.

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

Conciseness5/5

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

Three concise sentences, each with clear purpose: purpose, usage guidance, empty query behavior. No wasted words; front-loaded with the core function.

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

Completeness5/5

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

For a simple discovery tool with one optional parameter and an existing output schema, the description covers all essential aspects: what it does, when to use, output format, and special case (empty query). No gaps identified.

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

Parameters4/5

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

Schema description coverage is 0%, so description must compensate. It explains that the query parameter is a keyword for search and that an empty query returns the full index. Provides useful context beyond schema, though could elaborate on match rules (e.g., case sensitivity).

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

Purpose5/5

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

Description clearly states purpose: 'Search for akshare functions by keyword across all data categories.' It specifies the verb (search), resource (akshare functions), and scope (all categories), effectively distinguishing from sibling tools that cover specific categories.

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

Usage Guidelines4/5

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

Explicitly advises when to use: 'Use this to find the right function and its parent tool before making a data request.' Also describes behavior with empty query to see full index. Implies alternatives (the specific category tools) but does not explicitly state when not to use.

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

akshare_fundC

Mutual fund and ETF data: open-end fund NAV, money market fund yields, ETF real-time quotes & holdings, LOF data, fund manager profiles, fund performance rankings, fund portfolio allocation, fund announcements (dividends, personnel, reports), and AMAC industry statistics. Covers both public and private funds.

Available Methods

amac_aoin_info() 中国证券投资基金业协会-信息公示-基金产品公示-证券公司直投基金
amac_fund_abs() 中国证券投资基金业协会-信息公示-基金产品公示-资产支持专项计划公示信息
amac_fund_account_info() 中国证券投资基金业协会-信息公示-基金产品公示-基金公司及子公司集合资管产品公示
amac_fund_info(start_page='1', end_page='2000') 中国证券投资基金业协会-信息公示-基金产品-私募基金管理人基金产品
amac_fund_sub_info() 中国证券投资基金业协会-信息公示-基金产品公示-证券公司私募投资基金
amac_futures_info() 中国证券投资基金业协会-信息公示-基金产品公示-期货公司集合资管产品公示
amac_manager_cancelled_info() 中国证券投资基金业协会-信息公示-诚信信息公示-已注销私募基金管理人名单
amac_manager_classify_info() 中国证券投资基金业协会-信息公示-私募基金管理人公示-私募基金管理人分类公示
amac_manager_info() 中国证券投资基金业协会-信息公示-私募基金管理人公示-私募基金管理人综合查询
amac_member_info() 中国证券投资基金业协会-信息公示-会员信息-会员机构综合查询
amac_member_sub_info() 中国证券投资基金业协会-信息公示-私募基金管理人公示-证券公司私募基金子公司管理人信息公示
amac_person_bond_org_list() 中国证券投资基金业协会-信息公示-从业人员信息-债券投资交易相关人员公示
amac_person_fund_org_list(symbol='公募基金管理公司') 中国证券投资基金业协会-信息公示-从业人员信息-基金从业人员资格注册信息
amac_securities_info() 中国证券投资基金业协会-信息公示-基金产品公示-证券公司集合资管产品公示
fund_announcement_dividend_em(symbol='000001') 东方财富网站-天天基金网-基金档案-基金公告-分红配送
fund_announcement_personnel_em(symbol='000001') 东方财富网站-天天基金网-基金档案-基金公告-人事调整
fund_announcement_report_em(symbol='000001') 东方财富网站-天天基金网-基金档案-基金公告-定期报告
fund_aum_em() 东方财富-基金-基金公司排名列表
fund_aum_hist_em(year='2023') 东方财富-基金-基金公司历年管理规模排行列表
fund_aum_trend_em() 东方财富-基金-基金市场管理规模走势图
fund_balance_position_lg() 乐咕乐股-基金仓位-平衡混合型基金仓位
fund_cf_em(year='2025', typ='', rank='FSRQ', sort='desc', page=-1) 天天基金网-基金数据-分红送配-基金拆分
fund_etf_category_sina(symbol='LOF基金') 新浪财经-基金列表
fund_etf_category_ths(symbol='ETF', date='') 同花顺理财-基金数据-每日净值-实时行情
fund_etf_dividend_sina(symbol='sh510050') 新浪财经-基金-ETF 基金-累计分红
fund_etf_fund_daily_em() 东方财富网-天天基金网-基金数据-场内交易基金
fund_etf_fund_info_em(fund='511280', start_date='20000101', end_date='20500101') 东方财富网站-天天基金网-基金数据-场内交易基金-历史净值明细
fund_etf_hist_em(symbol='159707', period='daily', start_date='19700101', end_date='20500101', adjust='') 东方财富-ETF行情
fund_etf_hist_min_em(symbol='159707', start_date='1979-09-01 09:32:00', end_date='2222-01-01 09:32:00', period='5', adjust='') 东方财富-ETF 行情
fund_etf_hist_sina(symbol='sh510050') 新浪财经-基金-ETF 基金-日行情数据
fund_etf_scale_sse(date='20250115') 上海证券交易所-产品-基金产品-ETF产品-ETF产品列表-基金规模
fund_etf_scale_szse() 深圳证券交易所-基金产品-基金列表-ETF基金份额
fund_etf_spot_em() 东方财富-ETF 实时行情
fund_etf_spot_ths(date='') 同花顺理财-基金数据-每日净值-ETF-实时行情
fund_exchange_rank_em() 东方财富网-数据中心-场内交易基金排行
fund_fee_em(symbol='015641', indicator='认购费率') 天天基金-基金档案-购买信息
fund_fh_em(year='2025', typ='', rank='BZDM', sort='asc', page=-1) 天天基金网-基金数据-分红送配-基金分红
fund_fh_rank_em() 天天基金网-基金数据-分红送配-基金分红排行
fund_financial_fund_daily_em() 东方财富网站-天天基金网-基金数据-理财型基金收益
fund_financial_fund_info_em(symbol='000134') 东方财富网站-天天基金网-基金数据-理财型基金收益-历史净值明细
fund_graded_fund_daily_em() 东方财富网站-天天基金网-基金数据-分级基金净值
fund_graded_fund_info_em(symbol='150232') 东方财富网站-天天基金网-基金数据-分级基金净值-历史净值明细
fund_hk_fund_hist_em(code='1002200683', symbol='历史净值明细') 东方财富网-天天基金网-基金数据-香港基金-历史净值明细(分红送配详情)
fund_hk_rank_em() 东方财富网-数据中心-香港基金排行
fund_hold_structure_em() 天天基金网-基金数据-规模份额-持有人结构
fund_individual_achievement_xq(symbol='000001', timeout=None) 雪球基金-基金业绩
fund_individual_analysis_xq(symbol='000001', timeout=None) 雪球基金-基金数据分析
fund_individual_basic_info_xq(symbol='000001', timeout=None) 雪球基金-基金详情
fund_individual_detail_hold_xq(symbol='002804', date='20231231', timeout=None) 雪球基金-持仓
fund_individual_detail_info_xq(symbol='000001', timeout=None) 雪球基金-交易规则
fund_individual_profit_probability_xq(symbol='000001', timeout=None) 雪球基金-盈利概率-历史任意时点买入，持有满 X 年，盈利概率 Y%
fund_info_index_em(symbol='沪深指数', indicator='被动指数型') 东方财富网站-天天基金网-基金数据-基金信息-指数型
fund_info_ths(symbol='161130') 同花顺-基金数据-基金基本信息
fund_lcx_rank_em() 东方财富网-数据中心-理财基金排行
fund_linghuo_position_lg() 乐咕乐股-基金仓位-灵活配置型基金仓位
fund_lof_hist_em(symbol='166009', period='daily', start_date='19700101', end_date='20500101', adjust='') 东方财富-LOF 行情
fund_lof_hist_min_em(symbol='166009', start_date='1979-09-01 09:32:00', end_date='2222-01-01 09:32:00', period='5', adjust='') 东方财富-LOF 分时行情
fund_lof_spot_em() 东方财富-LOF 实时行情
fund_manager_em() 天天基金网-基金数据-基金经理大全
fund_money_fund_daily_em() 东方财富网-天天基金网-基金数据-货币型基金收益
fund_money_fund_info_em(symbol='000009') 东方财富网-天天基金网-基金数据-货币型基金收益-历史净值数据
fund_money_rank_em() 东方财富网-数据中心-货币型基金排行
fund_name_em() 东方财富网站-天天基金网-基金数据-所有基金的名称和类型
fund_new_found_em() 基金数据-新发基金-新成立基金
fund_new_found_ths(symbol='全部') 同花顺-基金数据-新发基金
fund_open_fund_daily_em() 东方财富网-天天基金网-基金数据-开放式基金净值
fund_open_fund_info_em(symbol='710001', indicator='单位净值走势', period='成立来') 东方财富网-天天基金网-基金数据-开放式基金净值
fund_open_fund_rank_em(symbol='全部') 东方财富网-数据中心-开放基金排行
fund_overview_em(symbol='015641') 天天基金-基金档案-基本概况
fund_portfolio_bond_hold_em(symbol='000001', date='2023') 天天基金网-基金档案-投资组合-债券持仓
fund_portfolio_change_em(symbol='003567', indicator='累计买入', date='2023') 天天基金网-基金档案-投资组合-重大变动
fund_portfolio_hold_em(symbol='000001', date='2024') 天天基金网-基金档案-投资组合-基金持仓
fund_portfolio_industry_allocation_em(symbol='000001', date='2023') 天天基金网-基金档案-投资组合-行业配置
fund_purchase_em() 东方财富网站-天天基金网-基金数据-基金申购状态
fund_rating_all() 天天基金网-基金评级-基金评级总汇
fund_rating_ja(date='20230331') 天天基金网-基金评级-济安金信评级
fund_rating_sh(date='20230630') 天天基金网-基金评级-上海证券评级
fund_rating_zs(date='20230331') 天天基金网-基金评级-招商证券评级
fund_report_asset_allocation_cninfo() 巨潮资讯-数据中心-专题统计-基金报表-基金资产配置
fund_report_industry_allocation_cninfo(date='20210630') 巨潮资讯-数据中心-专题统计-基金报表-基金行业配置
fund_report_stock_cninfo(date='20210630') 巨潮资讯-数据中心-专题统计-基金报表-基金重仓股
fund_scale_change_em() 天天基金网-基金数据-规模份额-规模变动
fund_scale_close_sina() 新浪财经-基金数据中心-基金规模-封闭式基金
fund_scale_daily_szse(start_date='20260401', end_date='20260401', symbol='ETF') 深圳证券交易所-基金产品-基金规模-日频数据
fund_scale_open_sina(symbol='股票型基金') 新浪财经-基金数据中心-基金规模-开放式基金
fund_scale_structured_sina() 新浪财经-基金数据中心-基金规模-分级子基金
fund_stock_position_lg() 乐咕乐股-基金仓位-股票型基金仓位
fund_value_estimation_em(symbol='全部') 东方财富网-数据中心-净值估算

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2.7/5.0

Behavior2/5

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

No annotations provided, so description bears full burden. It does not disclose any behavioral traits like rate limits, authentication requirements, data freshness, or error handling. The method list implies data retrieval but omits operational details.

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 excessively long with over 70 method entries. It front-loads a short summary but then dumps a massive list. Each method's Chinese description adds bulk without concise English guidance. Not efficiently structured for quick agent understanding.

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?

Despite having an output schema and complex parameters, the description lacks coverage of return values, usage patterns, or typical workflows. The method list provides granular operations but misses overarching context needed for effective tool selection.

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

Parameters3/5

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

Schema coverage is 0%, but the description compensates by listing method-specific parameters in parentheses (e.g., fund_etf_hist_em(symbol='159707', period='daily')). However, common parameters like 'method', 'date', 'symbol' are not explained generically, leaving ambiguity for agents.

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 explicitly states it covers mutual fund and ETF data including NAV, yields, quotes, holdings, etc. It distinguishes from sibling tools (e.g., akshare_stock_a) by focusing on fund-related data, but the verb 'provide' is generic and the long method list dilutes clarity.

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 vs alternatives. While the tool name and broad category imply fund data, there is no 'when to use' or 'when not to use' advice, nor are sibling tools mentioned for comparison.

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

akshare_futuresC

Chinese and global futures data: real-time/minute/daily quotes from major exchanges (SHFE, DCE, CZCE, CFFEX, GFEX, INE, COMEX), contract specifications and trading hours, warehousing/inventory data, basis and spread analysis, settlement prices, margin rates, open interest, COT reports, and professional analytics (qhkc series).

Available Methods

futures_comex_inventory(symbol='黄金') 东方财富网-数据中心-期货期权-COMEX库存数据
futures_comm_info(symbol='所有') 九期网-期货手续费
futures_comm_js(date='20260213') 金十财经-期货手续费
futures_contract_detail(symbol='AP2101') 查询期货合约详情
futures_contract_detail_em(symbol='v2602F') 查询期货合约详情
futures_contract_info_cffex(date='20240228') 中国金融期货交易所-数据-交易参数
futures_contract_info_czce(date='20240228') 郑州商品交易所-交易数据-参考数据
futures_contract_info_dce() 大连商品交易所-数据中心-业务数据-交易参数-合约信息
futures_contract_info_gfex() 广州期货交易所-业务/服务-合约信息
futures_contract_info_ine(date='20241129') 上海国际能源交易中心-业务指南-交易参数汇总(期货)
futures_contract_info_shfe(date='20240513') 上海期货交易所-交易所服务-业务数据-交易参数汇总查询
futures_dce_position_rank(date='20160919', vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 大连商品交易所-每日持仓排名-具体合约
futures_dce_position_rank_other(date='20160104') 大连商品交易所-每日持仓排名-具体合约-补充
futures_delivery_czce(date='20210112') 郑州商品交易所-月度交割查询
futures_delivery_dce(date='202312') 大连商品交易所-交割统计
futures_delivery_match_czce(date='20210106') 郑州商品交易所-交割配对
futures_delivery_match_dce(symbol='a') 大连商品交易所-交割配对表
futures_delivery_shfe(date='202312') 上海期货交易所-交割情况表
futures_display_main_sina() 新浪主力连续合约品种一览表
futures_fees_info() openctp 期货交易费用参照表
futures_foreign_commodity_realtime(symbol) 新浪-外盘期货-行情数据
futures_foreign_commodity_subscribe_exchange_symbol() 需要订阅的行情的代码
futures_foreign_detail(symbol='ZSD') foreign futures contract detail data
futures_foreign_hist(symbol='ZSD') 外盘期货-历史行情数据-日频率
futures_gfex_position_rank(date='20231113', vars_list=None) 广州期货交易所-日成交持仓排名
futures_gfex_warehouse_receipt(date='20240122') 广州期货交易所-行情数据-仓单日报
futures_global_hist_em(symbol='HG00Y') 东方财富网-行情中心-期货市场-国际期货-历史行情数据
futures_global_spot_em() 东方财富网-行情中心-期货市场-国际期货
futures_hist_daily_cffex(date='20260403') 中国金融期货交易所-交易所日交易数据
futures_hist_em(symbol='热卷主连', period='daily', start_date='19900101', end_date='20500101') 东方财富网-期货行情-行情数据
futures_hist_table_em() 东方财富网-期货行情-交易所品种对照表
futures_hog_core(symbol='外三元') 玄田数据-核心数据
futures_hog_cost(symbol='玉米') 玄田数据-成本维度
futures_hog_supply(symbol='猪肉批发价') 玄田数据-供应维度
futures_hold_pos_sina(symbol='成交量', contract='OI2501', date='20240223') 新浪财经-期货-成交持仓
futures_hq_subscribe_exchange_symbol() 将品种字典转化为 pandas.DataFrame
futures_index_ccidx(symbol='中证商品期货指数') 中证商品指数-商品指数-日频率
futures_inventory_99(symbol='豆一') 99 期货网-大宗商品库存数据
futures_inventory_em(symbol='a') 东方财富网-数据中心-期货库存数据
futures_main_sina(symbol='V0', start_date='19900101', end_date='22220101') 新浪财经-期货-主力连续日数据
futures_news_shmet(symbol='全部') 上海金属网-快讯
futures_rule(date='20231205') 国泰君安期货-交易日历数据表
futures_settle(date='20260119', market='CFFEX') 期货交易所结算参数
futures_settle_cffex(date='20260119') 中国金融期货交易所-结算参数
futures_settle_czce(date='20260119') 郑州商品交易所-结算参数
futures_settle_gfex(date='20260119') 广州期货交易所-结算参数
futures_settle_ine(date='20260119') 上海国际能源交易中心-结算参数
futures_settle_shfe(date='20260119') 上海期货交易所-结算参数
futures_settlement_price_sgx(date='20231107') 新加坡交易所-衍生品-历史数据-历史结算价格
futures_shfe_warehouse_receipt(date='20200702') 上海期货交易所指定交割仓库期货仓单日报
futures_spot_price(date='20240430', vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 指定交易日大宗商品现货价格及相应基差
futures_spot_price_daily(start_day='20210201', end_day='20210208', vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 指定时间段内大宗商品现货价格及相应基差
futures_spot_price_previous(date='20240430') 具体交易日大宗商品现货价格及相应基差
futures_spot_stock(symbol='能源') 东方财富网-数据中心-现货与股票
futures_spot_sys(symbol='铜', indicator='市场价格') 生意社-商品与期货-现期图
futures_stock_shfe_js(date='20240419') 金十财经-上海期货交易所指定交割仓库库存周报
futures_symbol_mark() 期货的品种和代码映射
futures_to_spot_czce(date='20231228') 郑州商品交易所-期转现统计
futures_to_spot_dce(date='202312') 大连商品交易所-期转现
futures_to_spot_shfe(date='202312') 上海期货交易所-期转现
futures_warehouse_receipt_czce(date='20251103') 郑州商品交易所-交易数据-仓单日报
futures_warehouse_receipt_dce(date='20251027') 大连商品交易所-行情数据-统计数据-日统计-仓单日报
futures_zh_daily_sina(symbol='RB0') 中国各品种期货日频率数据
futures_zh_minute_sina(symbol='IF2008', period='1') 中国各品种期货分钟频率数据
futures_zh_realtime(symbol='PTA') 期货品种当前时刻所有可交易的合约实时数据
futures_zh_spot(symbol='V2309', market='CF', adjust='0') 期货的实时行情数据
get_cffex_daily(date='20100416') 中国金融期货交易所-日频率交易数据
get_cffex_rank_table(date='20190805', vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 中国金融期货交易所前 20 会员持仓排名数据明细
get_czce_daily(date='20050525') 郑州商品交易所-日频率-量价数据
get_dce_daily(date='20251027') 大连商品交易所日交易数据
get_dce_rank_table(date='20230706', vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 大连商品交易所前 20 会员持仓排名数据明细, 由于交易所网站问题, 需要 20200720 之后才有数据
get_futures_daily(start_date='20220208', end_date='20220208', market='CFFEX') 交易所日交易数据
get_gfex_daily(date='20221223') 广州期货交易所-日频率-量价数据
get_ine_daily(date='20241129') 上海国际能源交易中心-日频率-量价数据
get_qhkc_fund_bs(date='20190924', url='https://qhkch.com/ajax/fund_bs_pie.php') 奇货可查-资金-净持仓分布
get_qhkc_fund_money_change(date='20190924', url='https://qhkch.com/ajax/fund_deal_pie.php') 奇货可查-资金-成交额分布
get_qhkc_fund_position(date='20190924', url='https://qhkch.com/ajax/fund_position_pie.php') 奇货可查-资金-总持仓分布
get_qhkc_index(name='奇货商品', url='https://www.qhkch.com/ajax/index_show.php') 奇货可查-指数-指数详情
get_qhkc_index_profit_loss(name='奇货商品', url='https://qhkch.com/ajax/indexes_profit_loss.php', start_date='', end_date='') 奇货可查-指数-盈亏详情
get_qhkc_index_trend(name='奇货商品', url='https://qhkch.com/ajax/indexes_trend.php') 奇货可查-指数-大资金动向
get_rank_sum(date='20210525', vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 采集五个期货交易所前5、前10、前15、前20会员持仓排名数据
get_rank_sum_daily(start_day='20210510', end_day='20210510', vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 采集四个期货交易所前 5、前 10、前 15、前 20 会员持仓排名数据
get_rank_table_czce(date='20251103') 郑州商品交易所前 20 会员持仓排名数据明细
get_receipt(start_date=None, end_date=None, vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 大宗商品-注册仓单数据
get_roll_yield(date=None, var='BB', symbol1=None, symbol2=None, df=None) 指定交易日指定品种（主力和次主力）或任意两个合约的展期收益率
get_roll_yield_bar(type_method='var', var='RB', date='20201030', start_day=None, end_day=None) 展期收益率
get_shfe_daily(date='20220415') 上海期货交易所-日频率-量价数据
get_shfe_rank_table(date=None, vars_list=['IF', 'IC', 'IM', 'IH', 'T', 'TF', 'TS', 'TL', 'C', 'CS', 'A', 'B', 'M', 'Y', 'P', 'FB', 'BB', 'JD', 'L', 'V', 'PP', 'J', 'JM', 'I', 'EG', 'RR', 'EB', 'PG', 'LH', 'LG', 'BZ', 'WH', 'PM', 'CF', 'SR', 'TA', 'OI', 'RI', 'MA', 'ME', 'FG', 'RS', 'RM', 'ZC', 'JR', 'LR', 'SF', 'SM', 'WT', 'TC', 'GN', 'RO', 'ER', 'SRX', 'SRY', 'WSX', 'WSY', 'CY', 'AP', 'UR', 'CJ', 'SA', 'PK', 'PF', 'PX', 'SH', 'PR', 'PL', 'CU', 'AL', 'ZN', 'PB', 'NI', 'SN', 'AU', 'AG', 'RB', 'WR', 'HC', 'FU', 'BU', 'RU', 'SC', 'NR', 'SP', 'SS', 'LU', 'BC', 'AO', 'BR', 'EC', 'AD', 'OP', 'SI', 'LC', 'PS']) 上海期货交易所会员成交及持仓排名表
match_main_contract(symbol='cffex') 新浪财经-期货-主力合约
qhkc_tool_foreign(url='https://qhkch.com/ajax/toolbox_foreign.php') 奇货可查-工具-外盘比价
qhkc_tool_gdp(url='https://qhkch.com/dist/views/toolbox/gdp.html?v=1.10.7.1') 奇货可查-工具-各地区经济数据

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2.4/5.0

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 fails to mention rate limits, authentication, error handling for invalid methods, or the statefulness of the tool. It only lists available methods without discussing side effects or limitations.

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

Conciseness1/5

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

The description is excessively long (100+ lines) and poorly structured for an AI agent. While front-loaded with a brief summary, it then dumps a massive list of methods with repetitive signatures. Each signature carries little incremental value. The description would benefit from grouping methods by category or providing a clearer dispatch pattern explanation.

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?

Despite having an output schema, the description is incomplete for a tool with such high complexity. It does not explain how the dispatcher pattern works: e.g., setting the 'method' parameter selects a function, and its parameters are passed via the other top-level fields or params_json. The agent cannot reliably invoke the tool without guessing parameter mappings.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It provides method signatures with example parameters (e.g., symbol='黄金') but does not explain how the top-level parameters (date, symbol, etc.) map to each method's arguments. The role of params_json is unclear. This leaves the agent guessing how to invoke specific methods.

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 Chinese and global futures data across multiple categories (real-time quotes, contract specs, inventory, etc.). The tool name 'akshare_futures' helps distinguish it from siblings like akshare_stock_a. However, the massive list of methods clutters the purpose and could overwhelm an agent.

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?

There is no explicit guidance on when to use this tool vs. alternatives. The description does not mention when not to use it or provide context for choosing between this and other akshare tools. Implicit differentiation from siblings is weak.

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

akshare_fx_commodityC

Forex: real-time and historical exchange rates (BOC, Baidu, East Money), currency conversion, cross rates, FX swaps, and crypto (Bitcoin CME, holdings). Commodities: spot prices (gold, silver, hog, corn, feed ingredients from SGE/Soozhu), carbon emissions (domestic & EU), crude oil, and energy data.

Available Methods

crypto_bitcoin_cme(date='20230830') 芝加哥商业交易所-比特币成交量报告
crypto_bitcoin_hold_report() 金十数据-比特币持仓报告
currency_boc_safe() 人民币汇率中间价
currency_boc_sina(symbol='美元', start_date='20230304', end_date='20231110') 新浪财经-中行人民币牌价历史数据查询
currency_convert(base='USD', to='CNY', amount='10000', api_key='') currencies data from currencyscoop.com
currency_currencies(c_type='fiat', api_key='') currencies data from currencyscoop.com
currency_history(base='USD', date='2023-02-03', symbols='', api_key='') Latest data from currencyscoop.com
currency_latest(base='USD', symbols='', api_key='') Latest data from currencyscoop.com
currency_pair_map(symbol='美元') 指定货币的所有可获取货币对的数据
currency_time_series(base='USD', start_date='2023-02-03', end_date='2023-03-04', symbols='', api_key='') Time-series data from currencyscoop.com
energy_carbon_bj() 北京市碳排放权电子交易平台-北京市碳排放权公开交易行情
energy_carbon_domestic(symbol='湖北') 碳交易网-行情信息
energy_carbon_eu() 深圳碳排放交易所-国际碳情
energy_carbon_gz() 广州碳排放权交易中心-行情信息
energy_carbon_hb() 湖北碳排放权交易中心-现货交易数据-配额-每日概况
energy_carbon_sz() 深圳碳排放交易所-国内碳情
energy_oil_detail(date='20220517') 全国各地区的汽油和柴油油价
energy_oil_hist() 汽柴油历史调价信息
forex_hist_em(symbol='USDCNH') 东方财富网-行情中心-外汇市场-所有汇率-历史行情数据
forex_spot_em() 东方财富网-行情中心-外汇市场-所有汇率-实时行情数据
fx_c_swap_cm() 中国外汇交易中心暨全国银行间同业拆借中心-基准-外汇市场-外汇掉期曲线-外汇掉期 C-Swap 定盘曲线
fx_pair_quote() 中国外汇交易中心暨全国银行间同业拆借中心-市场数据-市场行情-债券市场行情-外币对即期报价
fx_quote_baidu(symbol='人民币', token='') 百度股市通-外汇-行情榜单
fx_spot_quote() 中国外汇交易中心暨全国银行间同业拆借中心-市场数据-市场行情-外汇市场行情-人民币外汇即期报价
fx_swap_quote() 中国外汇交易中心暨全国银行间同业拆借中心-市场数据-市场行情-债券市场行情-人民币外汇远掉报价
spot_corn_price_soozhu() 搜猪-生猪大数据-全国玉米价格走势
spot_golden_benchmark_sge() 上海黄金交易所-数据资讯-上海金基准价-历史数据
spot_hist_sge(symbol='Au99.99') 上海黄金交易所-数据资讯-行情走势-历史数据
spot_hog_crossbred_soozhu() 搜猪-生猪大数据-全国后备二元母猪
spot_hog_lean_price_soozhu() 搜猪-生猪大数据-全国瘦肉型肉猪
spot_hog_soozhu() 搜猪-生猪大数据-各省均价实时排行榜
spot_hog_three_way_soozhu() 搜猪-生猪大数据-全国三元仔猪
spot_hog_year_trend_soozhu() 搜猪-生猪大数据-今年以来全国出栏均价走势
spot_mixed_feed_soozhu() 搜猪-生猪大数据-全国育肥猪合料（含自配料）半月走势
spot_price_qh(symbol='螺纹钢') 99 期货-数据-期现-现货走势
spot_price_table_qh() 99 期货-数据-期现-交易所与品种对照表
spot_quotations_sge(symbol='Au99.99') 上海黄金交易所-实时行情数据
spot_silver_benchmark_sge() 上海黄金交易所-数据资讯-上海银基准价-历史数据
spot_soybean_price_soozhu() 搜猪-生猪大数据-全国豆粕价格走势
spot_symbol_table_sge() 上海黄金交易所-数据资讯-行情走势-品种表

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2.2/5.0

Behavior1/5

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

No annotations exist, and the description fails to disclose any behavioral traits such as side effects, authentication needs, rate limits, or data freshness. For a tool with numerous data sources, this is a critical omission, leaving the agent blind to important operational constraints.

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

Conciseness3/5

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

The description is structured with headers and bullet points, but it is verbose, listing many methods with Chinese text. It front-loads a summary but then dives into an extensive list. Some sentences are redundant or unclear, detracting from efficient parsing by an AI agent.

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

Completeness1/5

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

Given the tool's complexity (many methods, 8 parameters, no schema descriptions, no annotations), the description is woefully incomplete. It does not explain common parameter usage, the role of 'params_json', or how to interpret results. An output schema exists but is not provided; its absence further harms completeness. The agent cannot reliably invoke this tool correctly.

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 0% description coverage for its 8 parameters. The description shows example calls with parameters (e.g., crypto_bitcoin_cme(date='20230830')) but does not explain parameter meaning, format, or valid values across methods. The 'params_json' parameter is unexplained, adding confusion. The agent cannot determine how to properly set parameters without external knowledge.

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 that the tool provides forex and commodity data, and it lists many specific methods. This distinguishes it from sibling tools (e.g., akshare_bond, akshare_stock_a) that cover other asset classes. However, it lacks a concise verb+resource summary, relying on a broad listing.

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 alternatives. The description does not mention prerequisites, use cases, or when not to use it. The agent must infer from the method names and siblings, which is insufficient for confident selection.

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

akshare_indexB

Stock index data: China (CSI/Shenwan/CNI), global (S&P, DJIA, Nasdaq, FTSE, Nikkei, Hang Seng, etc.) historical and real-time values, index constituents, sector index analysis, shipping indices (Drewry, Baltic), and specialty indices (Bloomberg Billionaires, AI, etc.).

Available Methods

drewry_wci_index(symbol='composite') Drewry 集装箱指数
index_ai_cx() 财新数据-指数报告-AI策略指数
index_all_cni() 国证指数-最近交易日的所有指数
index_analysis_daily_sw(symbol='市场表征', start_date='20221103', end_date='20221103') 申万宏源研究-指数分析
index_analysis_monthly_sw(symbol='市场表征', date='20221031') 申万宏源研究-指数分析-月报告
index_analysis_week_month_sw(symbol='month') 申万宏源研究-周/月报表-日期序列
index_analysis_weekly_sw(symbol='市场表征', date='20221104') 申万宏源研究-指数分析-周报告
index_awpr_cx() 财新数据-指数报告-新经济入职工资溢价水平
index_bei_cx() 财新数据-指数报告-基石经济指数
index_bi_cx() 财新数据-指数报告-基础指数
index_cci_cx() 财新数据-指数报告-大宗商品指数
index_ci_cx() 财新数据-指数报告-资本投入指数
index_code_id_map_em() 东方财富-股票和市场代码
index_component_sw(symbol='801001') 申万宏源研究-指数发布-指数详情-成分股
index_csindex_all() 中证指数网站-指数列表
index_dei_cx() 财新数据-指数报告-数字经济指数
index_detail_cni(symbol='399001') 国证指数-样本详情-指定日期的样本成份
index_detail_hist_adjust_cni(symbol='399005') 国证指数-样本详情-历史调样
index_detail_hist_cni(symbol='399001') 国证指数-样本详情-历史样本
index_eri(symbol='月度') 浙江省排污权交易指数
index_fi_cx() 财新数据-指数报告-融合指数
index_global_hist_em(symbol='美元指数') 东方财富网-行情中心-全球指数-历史行情数据
index_global_hist_sina(symbol='OMX') 新浪财经-行情中心-环球市场-历史行情
index_global_name_table() 新浪财经-行情中心-环球市场-名称代码映射表
index_global_spot_em() 东方财富网-行情中心-全球指数-实时行情数据
index_hist_cni(symbol='399001', start_date='20230114', end_date='20240114') 指数历史行情数据
index_hist_fund_sw(symbol='807200', period='day') 申万宏源研究-申万指数-指数发布-基金指数-历史行情
index_hist_sw(symbol='801030', period='day') 申万宏源研究-指数发布-指数详情-指数历史数据
index_hog_spot_price() 行情宝-生猪市场价格指数
index_ii_cx() 财新数据-指数报告-产业指数
index_inner_quote_sugar_msweet() 沐甜科技数据中心-配额内进口糖估算指数
index_kq_fashion(symbol='时尚创意指数') 柯桥时尚指数
index_kq_fz(symbol='价格指数') 中国柯桥纺织指数
index_li_cx() 财新数据-指数报告-劳动力投入指数
index_min_sw(symbol='801001') 申万宏源研究-指数发布-指数详情-指数分时数据
index_neaw_cx() 财新数据-指数报告-新经济行业入职平均工资水平
index_neei_cx() 财新数据-指数报告-新动能指数
index_nei_cx() 财新数据-指数报告-中国新经济指数
index_news_sentiment_scope() 数库-A股新闻情绪指数
index_option_1000index_min_qvix() 中证1000股指期权波动率指数 QVIX-分时
index_option_1000index_qvix() 中证1000股指期权波动率指数 QVIX
index_option_100etf_min_qvix() 深证100ETF 期权波动率指数 QVIX-分时
index_option_100etf_qvix() 深证100ETF 期权波动率指数 QVIX
index_option_300etf_min_qvix() 300 ETF 期权波动率指数 QVIX-分时
index_option_300etf_qvix() 300 ETF 期权波动率指数 QVIX
index_option_300index_min_qvix() 中证300股指期权波动率指数 QVIX-分时
index_option_300index_qvix() 中证300股指期权波动率指数 QVIX
index_option_500etf_min_qvix() 500 ETF 期权波动率指数 QVIX-分时
index_option_500etf_qvix() 500 ETF 期权波动率指数 QVIX
index_option_50etf_min_qvix() 50 ETF 期权波动率指数 QVIX
index_option_50etf_qvix() 50ETF 期权波动率指数 QVIX
index_option_50index_min_qvix() 上证50股指期权波动率指数 QVIX-分时
index_option_50index_qvix() 上证50股指期权波动率指数 QVIX
index_option_cyb_min_qvix() 创业板期权波动率指数 QVIX-分时
index_option_cyb_qvix() 创业板期权波动率指数 QVIX
index_option_kcb_min_qvix() 科创板期权波动率指数 QVIX-分时
index_option_kcb_qvix() 科创板期权波动率指数 QVIX
index_outer_quote_sugar_msweet() 沐甜科技数据中心-配额外进口糖估算指数
index_pmi_com_cx() 财新数据-指数报告-财新中国 PMI-综合 PMI
index_pmi_man_cx() 财新数据-指数报告-财新中国 PMI-制造业 PMI
index_pmi_ser_cx() 财新数据-指数报告-财新中国 PMI-服务业 PMI
index_price_cflp(symbol='周指数') 中国公路物流运价指数
index_qli_cx() 财新数据-指数报告-高质量因子
index_realtime_fund_sw(symbol='基础一级') 申万宏源研究-申万指数-指数发布-基金指数-实时行情
index_realtime_sw(symbol='二级行业') 申万宏源研究-指数系列
index_si_cx() 财新数据-指数报告-溢出指数
index_stock_cons(symbol='399639') 最新股票指数的成份股目录
index_stock_cons_csindex(symbol='000300') 中证指数网站-成份股目录
index_stock_cons_sina(symbol='000300') 新浪新版股票指数成份页面, 目前该接口可获取指数数量较少
index_stock_cons_weight_csindex(symbol='000300') 中证指数网站-样本权重
index_stock_info() 聚宽-指数数据-指数列表
index_sugar_msweet() 沐甜科技数据中心-中国食糖指数
index_ti_cx() 财新数据-指数报告-科技投入指数
index_us_stock_sina(symbol='.INX') 新浪财经-美股指数行情
index_volume_cflp(symbol='月指数') 中国公路物流运量指数
index_yw(symbol='月景气指数') 义乌小商品指数
index_zh_a_hist(symbol='000859', period='daily', start_date='19700101', end_date='22220101') 东方财富网-中国股票指数-行情数据
index_zh_a_hist_min_em(symbol='399006', period='1', start_date='1979-09-01 09:32:00', end_date='2222-01-01 09:32:00') 东方财富网-指数数据-每日分时行情
spot_goods(symbol='波罗的海干散货指数') 新浪财经-商品现货价格指数
stock_a_code_to_symbol(symbol='000300') 输入股票代码判断股票市场
stock_zh_index_daily(symbol='sh000922') 新浪财经-指数-历史行情数据, 大量抓取容易封 IP
stock_zh_index_daily_em(symbol='csi931151', start_date='19900101', end_date='20500101') 东方财富网-股票指数数据
stock_zh_index_daily_tx(symbol='sz980017', start_date='', end_date='') 腾讯证券-日频-股票或者指数历史数据(支持自定义时间范围)
stock_zh_index_hist_csindex(symbol='000928', start_date='20180526', end_date='20240604') 中证指数-具体指数-历史行情数据
stock_zh_index_spot_em(symbol='上证系列指数') 东方财富网-行情中心-沪深京指数
stock_zh_index_spot_sina() 新浪财经-行情中心首页-A股-分类-所有指数
stock_zh_index_value_csindex(symbol='H30374') 中证指数-指数估值数据
sw_index_first_info() 乐咕乐股-申万一级-分类
sw_index_second_info() 乐咕乐股-申万二级-分类
sw_index_third_cons(symbol='801120.SI') 乐咕乐股-申万三级-行业成份
sw_index_third_info() 乐咕乐股-申万三级-分类

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

B3.1/5.0

Behavior2/5

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

No annotations provided. Only one method mentions rate limit risk (封 IP), but overall the description lacks disclosures on destructive actions, authentication, or other behavioral traits. No contradiction with annotations.

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

Conciseness3/5

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

The description is front-loaded with a summary, but the rest is a long list of methods. It is verbose but informative. The structure could be improved with grouping or categorization for faster parsing.

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

Completeness3/5

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

Given the tool's complexity (many methods, 8 parameters), the description enumerates all methods and required parameters. However, it lacks an overarching usage pattern or examples of typical queries. The output schema exists, so return values are not needed.

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

Parameters3/5

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

Schema coverage is 0%, so the description must compensate. It shows method-specific parameter examples (e.g., symbol='000300'), but does not systematically explain each parameter's meaning across all methods. The 'params_json' parameter is introduced but not defined.

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

Purpose5/5

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

The description clearly states the tool provides stock index data for China and global markets, including historical/real-time values, constituents, and specialty indices. This distinguishes it from siblings like akshare_bond or akshare_fund, which cover different asset classes.

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 vs. siblings. The description only lists methods without contextual advice, leaving the agent to infer suitable contexts from the resource type.

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

akshare_macroB

Macroeconomic data for China and international markets. China: GDP, CPI, PMI, M2 money supply, fiscal revenue, industrial output, fixed asset investment, retail sales, trade balance, unemployment rate, house price indices, electricity consumption, freight indices, consumer/producer confidence, and more. International: GDP, CPI, unemployment, manufacturing PMI, central bank interest rates, trade, and other indicators for USA, EU, Germany, UK, Japan, Australia, Canada, Switzerland, HK, and others.

Available Methods

crypto_js_spot() 主流加密货币的实时行情数据, 一次请求返回具体某一时刻行情数据
macro_australia_bank_rate() 东方财富-经济数据-澳大利亚-央行公布利率决议
macro_australia_cpi_quarterly() 东方财富-经济数据-澳大利亚-消费者物价指数季率
macro_australia_cpi_yearly() 东方财富-经济数据-澳大利亚-消费者物价指数年率
macro_australia_ppi_quarterly() 东方财富-经济数据-澳大利亚-生产者物价指数季率
macro_australia_retail_rate_monthly() 东方财富-经济数据-澳大利亚-零售销售月率
macro_australia_trade() 东方财富-经济数据-澳大利亚-贸易帐
macro_australia_unemployment_rate() 东方财富-经济数据-澳大利亚-失业率
macro_bank_australia_interest_rate() 澳洲联储决议报告, 数据区间从 19800201-至今
macro_bank_brazil_interest_rate() 巴西利率决议报告, 数据区间从 20080201-至今
macro_bank_china_interest_rate() 中国央行决议报告, 数据区间从 19990105-至今
macro_bank_english_interest_rate() 英国央行决议报告, 数据区间从 19700101-至今
macro_bank_euro_interest_rate() 欧洲央行决议报告, 数据区间从 19990101-至今
macro_bank_india_interest_rate() 印度利率决议报告, 数据区间从 20000801-至今
macro_bank_japan_interest_rate() 日本利率决议报告, 数据区间从 20080214-至今
macro_bank_newzealand_interest_rate() 新西兰联储决议报告, 数据区间从 19990401-至今
macro_bank_russia_interest_rate() 俄罗斯利率决议报告, 数据区间从 20030601-至今
macro_bank_switzerland_interest_rate() 瑞士央行利率决议报告, 数据区间从 20080313-至今
macro_bank_usa_interest_rate() 美联储利率决议报告, 数据区间从 19820927-至今
macro_canada_bank_rate() 东方财富-经济数据-加拿大-央行公布利率决议
macro_canada_core_cpi_monthly() 东方财富-经济数据-加拿大-核心消费者物价指数月率
macro_canada_core_cpi_yearly() 东方财富-经济数据-加拿大-核心消费者物价指数年率
macro_canada_cpi_monthly() 东方财富-经济数据-加拿大-消费者物价指数月率
macro_canada_cpi_yearly() 东方财富-经济数据-加拿大-消费者物价指数年率
macro_canada_gdp_monthly() 东方财富-经济数据-加拿大-GDP 月率
macro_canada_new_house_rate() 东方财富-经济数据-加拿大-新屋开工
macro_canada_retail_rate_monthly() 东方财富-经济数据-加拿大-零售销售月率
macro_canada_trade() 东方财富-经济数据-加拿大-贸易帐
macro_canada_unemployment_rate() 东方财富-经济数据-加拿大-失业率
macro_china_agricultural_index() 农副指数
macro_china_agricultural_product() 农产品批发价格总指数
macro_china_au_report() 上海黄金交易所报告, 数据区间从20100331-至今
macro_china_bank_financing() 银行理财产品发行数量
macro_china_bdti_index() 原油运输指数
macro_china_bsi_index() 超灵便型船运价指数
macro_china_central_bank_balance() 新浪财经-中国宏观经济数据-央行货币当局资产负债
macro_china_commodity_price_index() 大宗商品价格
macro_china_construction_index() 建材指数
macro_china_construction_price_index() 建材价格指数
macro_china_consumer_goods_retail() 东方财富-经济数据-社会消费品零售总额
macro_china_cpi() 东方财富-中国居民消费价格指数
macro_china_cpi_monthly() 中国月度 CPI 数据, 数据区间从 19960201-至今
macro_china_cpi_yearly() 中国年度 CPI 数据, 数据区间从 19860201-至今
macro_china_cx_pmi_yearly() 中国年度财新 PMI 数据, 数据区间从 20120120-至今
macro_china_cx_services_pmi_yearly() 中国财新服务业PMI报告, 数据区间从 20120405-至今
macro_china_czsr() 东方财富-财政收入
macro_china_daily_energy() 中国日度沿海六大电库存数据, 数据区间从20160101-至今
macro_china_energy_index() 能源指数
macro_china_enterprise_boom_index() https://data.eastmoney.com/cjsj/qyjqzs.html
macro_china_exports_yoy() 中国以美元计算出口年率报告, 数据区间从 19820201-至今
macro_china_fdi() 东方财富-经济数据一览-中国-外商直接投资数据
macro_china_foreign_exchange_gold() 央行黄金和外汇储备
macro_china_freight_index() 新浪财经-中国宏观经济数据-航贸运价指数
macro_china_fx_gold() 东方财富-外汇和黄金储备
macro_china_fx_reserves_yearly() 中国年度外汇储备数据, 数据区间从 20140115-至今
macro_china_gdp() 东方财富-中国国内生产总值
macro_china_gdp_yearly() 金十数据中心-中国 GDP 年率报告, 数据区间从 20110120-至今
macro_china_gdzctz() 东方财富-中国城镇固定资产投资
macro_china_gyzjz() 东方财富网-经济数据-工业增加值增长
macro_china_hgjck() 东方财富-海关进出口增减情况一览表
macro_china_hk_building_amount() 东方财富-经济数据一览-中国香港-香港楼宇买卖合约成交金额
macro_china_hk_building_volume() 东方财富-经济数据一览-中国香港-香港楼宇买卖合约数量
macro_china_hk_cpi() 东方财富-经济数据一览-中国香港-消费者物价指数
macro_china_hk_cpi_ratio() 东方财富-经济数据一览-中国香港-消费者物价指数年率
macro_china_hk_gbp() 东方财富-经济数据一览-中国香港-香港 GDP
macro_china_hk_gbp_ratio() 东方财富-经济数据一览-中国香港-香港 GDP 同比
macro_china_hk_market_info() 香港同业拆借报告, 数据区间从 20170320-至今
macro_china_hk_ppi() 东方财富-经济数据一览-中国香港-香港制造业 PPI 年率
macro_china_hk_rate_of_unemployment() 东方财富-经济数据一览-中国香港-失业率
macro_china_hk_trade_diff_ratio() 东方财富-经济数据一览-中国香港-香港商品贸易差额年率
macro_china_imports_yoy() 中国以美元计算进口年率报告, 数据区间从 19960201-至今
macro_china_industrial_production_yoy() 中国规模以上工业增加值年率报告, 数据区间从19900301-至今
macro_china_insurance() 新浪财经-中国宏观经济数据-保险业经营情况
macro_china_insurance_income() 原保险保费收入
macro_china_international_tourism_fx() 新浪财经-中国宏观经济数据-国际旅游外汇收入构成
macro_china_lpi_index() 物流景气指数
macro_china_lpr() LPR品种详细数据
macro_china_m2_yearly() 中国年度 M2 数据, 数据区间从 19980201-至今
macro_china_market_margin_sh() 上海融资融券报告, 数据区间从 20100331-至今
macro_china_market_margin_sz() 深圳融资融券报告, 数据区间从20100331-至今
macro_china_mobile_number() 手机出货量
macro_china_money_supply() 东方财富-货币供应量
macro_china_national_tax_receipts() 中国-全国税收收入
macro_china_nbs_nation(kind, path, period='LAST10') 国家统计局全国数据通用接口
macro_china_nbs_region(kind, path, indicator, region=None, period='LAST10') 国家统计局地区数据通用接口
macro_china_new_financial_credit() 中国-新增信贷数据
macro_china_new_house_price(city_first='北京', city_second='上海') 中国-新房价指数
macro_china_non_man_pmi() 中国官方非制造业 PMI, 数据区间从 20160101-至今
macro_china_passenger_load_factor() 新浪财经-中国宏观经济数据-民航客座率及载运率
macro_china_pmi() 东方财富-中国采购经理人指数
macro_china_pmi_yearly() 中国年度 PMI 数据, 数据区间从 20050201-至今
macro_china_postal_telecommunicational() 新浪财经-中国宏观经济数据-邮电业务基本情况
macro_china_ppi() 东方财富-中国工业品出厂价格指数
macro_china_ppi_yearly() 中国年度 PPI 数据, 数据区间从 19950801-至今
macro_china_qyspjg() 东方财富-经济数据一览-中国-企业商品价格指数
macro_china_real_estate() 国房景气指数
macro_china_reserve_requirement_ratio() 存款准备金率
macro_china_retail_price_index() 商品零售价格指数
macro_china_rmb() 中国人民币汇率中间价报告, 数据区间从 20170103-至今
macro_china_shibor_all() 上海银行业同业拆借报告, 数据区间从20170317-至今
macro_china_shrzgm() 商务数据中心-国内贸易-社会融资规模增量统计
macro_china_society_electricity() 新浪财经-中国宏观经济数据-全社会用电分类情况表
macro_china_society_traffic_volume() 新浪财经-中国宏观经济数据-全社会客货运输量
macro_china_stock_market_cap() 东方财富-全国股票交易统计表
macro_china_supply_of_money() 新浪财经-中国宏观经济数据-货币供应量
macro_china_trade_balance() 中国以美元计算贸易帐报告, 数据区间从 19810201-至今
macro_china_urban_unemployment() 国家统计局-月度数据-城镇调查失业率
macro_china_vegetable_basket() 菜篮子产品批发价格指数
macro_china_wbck() 东方财富-本外币存款
macro_china_whxd() 东方财富-外汇贷款数据
macro_china_xfzxx() 东方财富网-经济数据一览-消费者信心指数
macro_china_yw_electronic_index() 义乌小商品指数-电子元器件
macro_cnbs() 国家金融与发展实验室-中国宏观杠杆率数据
macro_cons_gold() 全球最大黄金 ETF—SPDR Gold Trust 持仓报告, 数据区间从 20041118-至今
macro_cons_opec_month() 欧佩克报告-月度, 数据区间从 20170118-至今
macro_cons_silver() 全球最大白银 ETF—SPDR Gold Trust 持仓报告, 数据区间从 20041118-至今
macro_euro_cpi_mom() 欧元区 CPI 月率报告, 数据区间从 19900301-至今
macro_euro_cpi_yoy() 欧元区CPI年率报告, 数据区间从19910201-至今
macro_euro_current_account_mom() 欧元区经常帐报告, 数据区间从20080221-至今, 前两个值需要去掉
macro_euro_employment_change_qoq() 欧元区季调后就业人数季率报告, 数据区间从20083017-至今
macro_euro_gdp_yoy() 欧元区季度 GDP 年率报告, 数据区间从 20131114-至今
macro_euro_industrial_production_mom() 欧元区工业产出月率报告, 数据区间从19910301-至今
macro_euro_lme_holding() 伦敦金属交易所(LME)-持仓报告, 数据区间从 20151022-至今
macro_euro_lme_stock() 伦敦金属交易所(LME)-库存报告, 数据区间从 20140702-至今
macro_euro_manufacturing_pmi() 欧元区制造业PMI初值报告, 数据区间从20080222-至今
macro_euro_ppi_mom() 欧元区PPI月率报告, 数据区间从19810301-至今
macro_euro_retail_sales_mom() 欧元区零售销售月率报告, 数据区间从20000301-至今
macro_euro_sentix_investor_confidence() 欧元区Sentix投资者信心指数报告, 数据区间从20020801-至今
macro_euro_services_pmi() 欧元区服务业PMI终值报告, 数据区间从 20080222-至今
macro_euro_trade_balance() 欧元区未季调贸易帐报告, 数据区间从19990201-至今
macro_euro_unemployment_rate_mom() 欧元区失业率报告, 数据区间从19980501-至今
macro_euro_zew_economic_sentiment() 欧元区ZEW经济景气指数报告, 数据区间从20080212-至今
macro_fx_sentiment(start_date='20221011', end_date='20221017') 金十数据-外汇-投机情绪报告
macro_germany_cpi_monthly() 东方财富-数据中心-经济数据一览-德国-消费者物价指数月率终值
macro_germany_cpi_yearly() 东方财富-数据中心-经济数据一览-德国-消费者物价指数年率终值
macro_germany_gdp() 东方财富-数据中心-经济数据一览-德国-GDP
macro_germany_ifo() 东方财富-数据中心-经济数据一览-德国-IFO商业景气指数
macro_germany_retail_sale_monthly() 东方财富-数据中心-经济数据一览-德国-实际零售销售月率
macro_germany_retail_sale_yearly() 东方财富-数据中心-经济数据一览-德国-实际零售销售年率
macro_germany_trade_adjusted() 东方财富-数据中心-经济数据一览-德国-贸易帐(季调后)
macro_germany_zew() 东方财富-数据中心-经济数据一览-德国-ZEW 经济景气指数
macro_global_sox_index() 费城半导体指数
macro_info_ws(date='20240514') 华尔街见闻-日历-宏观
macro_japan_bank_rate() 东方财富-经济数据-日本-央行公布利率决议
macro_japan_core_cpi_yearly() 东方财富-经济数据-日本-全国核心消费者物价指数年率
macro_japan_cpi_yearly() 东方财富-经济数据-日本-全国消费者物价指数年率
macro_japan_head_indicator() 东方财富-经济数据-日本-领先指标终值
macro_japan_unemployment_rate() 东方财富-经济数据-日本-失业率
macro_rmb_deposit() 同花顺-数据中心-宏观数据-人民币存款余额
macro_rmb_loan() 同花顺-数据中心-宏观数据-新增人民币贷款
macro_shipping_bci() 海岬型运费指数(BCI)
macro_shipping_bcti() 成品油运输指数（BCTI）
macro_shipping_bdi() 波罗的海干散货指数(BDI)
macro_shipping_bpi() 巴拿马型运费指数(BPI)
macro_stock_finance() 同花顺-数据中心-宏观数据-股票筹资
macro_swiss_cpi_yearly() 东方财富-经济数据-瑞士-消费者物价指数年率
macro_swiss_gbd_bank_rate() 东方财富-经济数据-瑞士-央行公布利率决议
macro_swiss_gbd_yearly() 东方财富-经济数据-瑞士-GDP 年率
macro_swiss_gdp_quarterly() 东方财富-经济数据-瑞士-GDP季率
macro_swiss_svme() 东方财富-经济数据-瑞士-SVME采购经理人指数
macro_swiss_trade() 东方财富-经济数据-瑞士-贸易帐
macro_uk_bank_rate() 东方财富-经济数据-英国-央行公布利率决议
macro_uk_core_cpi_monthly() 东方财富-经济数据-英国-核心消费者物价指数月率
macro_uk_core_cpi_yearly() 东方财富-经济数据-英国-核心消费者物价指数年率
macro_uk_cpi_monthly() 东方财富-经济数据-英国-消费者物价指数月率
macro_uk_cpi_yearly() 东方财富-经济数据-英国-消费者物价指数年率
macro_uk_gdp_quarterly() 东方财富-经济数据-英国-GDP 季率初值
macro_uk_gdp_yearly() 东方财富-经济数据-英国-GDP 年率初值
macro_uk_halifax_monthly() 东方财富-经济数据-英国-Halifax 房价指数月率
macro_uk_halifax_yearly() 东方财富-经济数据-英国-Halifax 房价指数年率
macro_uk_retail_monthly() 东方财富-经济数据-英国-零售销售月率
macro_uk_retail_yearly() 东方财富-经济数据-英国-零售销售年率
macro_uk_rightmove_monthly() 东方财富-经济数据-英国-Rightmove 房价指数月率
macro_uk_rightmove_yearly() 东方财富-经济数据-英国-Rightmove 房价指数年率
macro_uk_trade() 东方财富-经济数据-英国-贸易帐
macro_uk_unemployment_rate() 东方财富-经济数据-英国-失业率
macro_usa_adp_employment() 美国ADP就业人数报告, 数据区间从 20010601-至今
macro_usa_api_crude_stock() 美国 API 原油库存报告, 数据区间从 20120328-至今
macro_usa_building_permits() 美国营建许可总数报告, 数据区间从 20080220-至今
macro_usa_business_inventories() 美国商业库存月率报告, 数据区间从 19920301-至今
macro_usa_cb_consumer_confidence() 金十数据中心-经济指标-美国-领先指标-美国谘商会消费者信心指数报告, 数据区间从 19700101-至今
macro_usa_cftc_c_holding() 美国商品期货交易委员会CFTC商品类非商业持仓报告, 数据区间从 19830107-至今
macro_usa_cftc_merchant_currency_holding() 美国商品期货交易委员会CFTC外汇类商业持仓报告, 数据区间从 19860115-至今
macro_usa_cftc_merchant_goods_holding() 美国商品期货交易委员会CFTC商品类商业持仓报告, 数据区间从 19860115-至今
macro_usa_cftc_nc_holding() 美国商品期货交易委员会CFTC外汇类非商业持仓报告, 数据区间从 19830107-至今
macro_usa_cme_merchant_goods_holding() CME-贵金属, 数据区间从 20180405-至今
macro_usa_core_cpi_monthly() 美国核心 CPI 月率报告, 数据区间从 19700101-至今
macro_usa_core_pce_price() 美国核心PCE物价指数年率报告, 数据区间从 19700101-至今
macro_usa_core_ppi() 美国核心生产者物价指数(PPI)报告, 数据区间从20080318-至今
macro_usa_cpi_monthly() 美国 CPI 月率报告, 数据区间从 19700101-至今
macro_usa_cpi_yoy() 东方财富-经济数据一览-美国-CPI年率, 数据区间从 2008-至今
macro_usa_crude_inner() 美国原油产量报告, 数据区间从 19830107-至今
macro_usa_current_account() 美国经常帐报告, 数据区间从 20080317-至今
macro_usa_durable_goods_orders() 美国耐用品订单月率报告, 数据区间从 20080227-至今
macro_usa_eia_crude_rate() 美国 EIA 原油库存报告, 数据区间从 19950801-至今
macro_usa_exist_home_sales() 美国成屋销售总数年化报告, 数据区间从 19700101-至今
macro_usa_export_price() 美国出口价格指数报告, 数据区间从19890201-至今
macro_usa_factory_orders() 美国工厂订单月率报告, 数据区间从 19920401-至今
macro_usa_gdp_monthly() 金十数据-美国国内生产总值(GDP)报告, 数据区间从 20080228-至今
macro_usa_house_price_index() 美国FHFA房价指数月率报告, 数据区间从 19910301-至今
macro_usa_house_starts() 美国新屋开工总数年化报告, 数据区间从 19700101-至今
macro_usa_import_price() 美国进口物价指数报告, 数据区间从19890201-至今
macro_usa_industrial_production() 美国工业产出月率报告, 数据区间从 19700101-至今
macro_usa_initial_jobless() 美国初请失业金人数报告, 数据区间从 19700101-至今
macro_usa_ism_non_pmi() 美国ISM非制造业PMI报告, 数据区间从 19970801-至今
macro_usa_ism_pmi() 美国 ISM 制造业 PMI 报告, 数据区间从 19700101-至今
macro_usa_job_cuts() 美国挑战者企业裁员人数报告, 数据区间从 19940201-至今
macro_usa_lmci() 美联储劳动力市场状况指数报告, 数据区间从 20141006-至今
macro_usa_michigan_consumer_sentiment() 美国密歇根大学消费者信心指数初值报告, 数据区间从 19700301-至今
macro_usa_nahb_house_market_index() 美国NAHB房产市场指数报告, 数据区间从 19850201-至今
macro_usa_new_home_sales() 美国新屋销售总数年化报告, 数据区间从 19700101-至今
macro_usa_nfib_small_business() 美国NFIB小型企业信心指数报告, 数据区间从 19750201-至今
macro_usa_non_farm() 美国非农就业人数报告, 数据区间从19700102-至今
macro_usa_pending_home_sales() 美国成屋签约销售指数月率报告, 数据区间从 20010301-至今
macro_usa_personal_spending() 美国个人支出月率报告, 数据区间从19700101-至今
macro_usa_phs() 东方财富-经济数据一览-美国-未决房屋销售月率
macro_usa_pmi() 美国 Markit 制造业 PMI 初值报告, 数据区间从 20120601-至今
macro_usa_ppi() 美国生产者物价指数(PPI)报告, 数据区间从 20080226-至今
macro_usa_real_consumer_spending() 美国实际个人消费支出季率初值报告, 数据区间从 20131107-至今
macro_usa_retail_sales() 美国零售销售月率报告, 数据区间从 19920301-至今
macro_usa_rig_count() 贝克休斯钻井报告, 数据区间从 20080317-至今
macro_usa_services_pmi() 美国Markit服务业PMI初值报告, 数据区间从 20120701-至今
macro_usa_spcs20() 美国S&P/CS20座大城市房价指数年率报告, 数据区间从 20010201-至今
macro_usa_trade_balance() 美国贸易帐报告, 数据区间从 19700101-至今
macro_usa_unemployment_rate() 美国失业率报告, 数据区间从 19700101-至今

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

B3/5.0

Behavior3/5

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

No annotations provided; description includes data time ranges for many methods (e.g., 'data interval from 19800201 to present'), but lacks details on side effects, authentication, rate limits, or data update frequency.

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 excessively long (100+ lines) with an exhaustive method list. It front-loads a brief summary but the bulk is a verbose, unstructured enumeration that could be summarized or omitted.

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 (8 parameters, many methods), the description fails to cover how to use parameters that are method-specific (e.g., city_first for macro_china_new_house_price) or what the output contains. Even though output schema exists, description doesn't bridge the gap.

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?

Schema coverage is 0%; description does not explain parameters (method, date, adjust, period, symbol, end_date, start_date, params_json) at all. It only lists available method names but does not clarify how these parameters affect behavior.

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

Purpose5/5

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

The description clearly states it provides macroeconomic data for China and international markets, listing numerous specific indicators (GDP, CPI, PMI, etc.) and countries. This distinguishes it from sibling tools like akshare_bond or akshare_stock_a that cover other asset classes.

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

Usage Guidelines3/5

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

The description implies use for macroeconomic data but does not explicitly specify when to choose this tool over siblings or how to select among the hundreds of methods. No guidance on context or exclusion criteria.

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

akshare_optionA

Options data: SSE/SZSE ETF options (50ETF, 300ETF, 500ETF, 创业板ETF, 深证100ETF), CFFEX index options (CSI 300, SSE 50, CSI 1000), commodity options (DCE, ZCE, SHFE), option Greeks, margin requirements, and historical option chains.

Available Methods

option_cffex_hs300_daily_sina(symbol='io2202P4350') 新浪财经-中金所-沪深300指数-指定合约-日频行情
option_cffex_hs300_list_sina() 新浪财经-中金所-沪深 300 指数-所有合约, 返回的第一个合约为主力合约
option_cffex_hs300_spot_sina(symbol='io2204') 中金所-沪深 300 指数-指定合约-实时行情
option_cffex_sz50_daily_sina(symbol='ho2303P2350') 新浪财经-中金所-上证 50 指数-指定合约-日频行情
option_cffex_sz50_list_sina() 新浪财经-中金所-上证 50 指数-所有合约, 返回的第一个合约为主力合约
option_cffex_sz50_spot_sina(symbol='ho2303') 中金所-上证 50 指数-指定合约-实时行情
option_cffex_zz1000_daily_sina(symbol='mo2208P6200') 新浪财经-中金所-中证 1000 指数-指定合约-日频行情
option_cffex_zz1000_list_sina() 新浪财经-中金所-中证 1000 指数-所有合约, 返回的第一个合约为主力合约
option_cffex_zz1000_spot_sina(symbol='mo2208') 中金所-中证 1000 指数-指定合约-实时行情
option_comm_info(symbol='工业硅期权') 九期网-商品期权手续费
option_comm_symbol()
option_commodity_contract_sina(symbol='玉米期权') 当前可以查询的期权品种的合约日期
option_commodity_contract_table_sina(symbol='黄金期权', contract='au2204') 当前所有期权合约, 包括看涨期权合约和看跌期权合约
option_commodity_hist_sina(symbol='au2012C392') 合约历史行情-日频
option_contract_info_ctp() openctp-合约信息接口-期权合约
option_current_day_sse() 上海证券交易所-产品-股票期权-信息披露-当日合约
option_current_day_szse() 深圳证券交易所-期权子网-行情数据-当日合约
option_current_em() 东方财富网-行情中心-期权市场
option_daily_stats_sse(date='20240626') 上海证券交易所-产品-股票期权-每日统计
option_daily_stats_szse(date='20240626') 深圳证券交易所-市场数据-期权数据-日度概况
option_finance_board(symbol='嘉实沪深300ETF期权', end_month='2306') 期权当前交易日的行情数据
option_finance_minute_sina(symbol='10002530') 指定期权的分钟频率数据
option_finance_sse_underlying(symbol='华夏科创50ETF期权') 期权标的当日行情
option_hist_czce(symbol='白糖期权', trade_date='20191017') 郑州商品交易所-期权-日频行情数据
option_hist_dce(symbol='聚丙烯期权', trade_date='20251016') 大连商品交易所-期权-日频行情数据
option_hist_gfex(symbol='工业硅', trade_date='20230724') 广州期货交易所-日频率-量价数据
option_hist_shfe(symbol='铝期权', trade_date='20250418') 上海期货交易所-期权-日频行情数据
option_hist_yearly_czce(symbol='SR', year='2021') 郑州商品交易所-交易数据-历史行情下载-期权历史行情下载
option_lhb_em(symbol='510050', indicator='期权交易情况-认沽交易量', trade_date='20220121') 东方财富网-数据中心-期货期权-期权龙虎榜单
option_margin(symbol='原油期权') 获取商品期权保证金
option_margin_symbol() 获取商品期权品种代码和名称
option_minute_em(symbol='MO2404-P-4450') 东方财富网-行情中心-期权市场-分时行情
option_premium_analysis_em() 东方财富网-数据中心-特色数据-期权折溢价
option_risk_analysis_em() 东方财富网-数据中心-特色数据-期权风险分析
option_risk_indicator_sse(date='20240626') 上海证券交易所-产品-股票期权-期权风险指标
option_sse_codes_sina(symbol='看涨期权', trade_date='202202', underlying='510050') 上海证券交易所-所有看涨和看跌合约的代码
option_sse_daily_sina(symbol='10003889') 指定期权的日频率数据
option_sse_expire_day_sina(trade_date='202102', symbol='50ETF', exchange='null') 指定到期月份指定品种的剩余到期时间
option_sse_greeks_sina(symbol='10003045') 期权基本信息表
option_sse_list_sina(symbol='50ETF', exchange='null') 新浪财经-期权-上交所-50ETF-合约到期月份列表
option_sse_minute_sina(symbol='10003720') 指定期权品种在当前交易日的分钟数据, 只能获取当前交易日的数据, 不能获取历史分钟数据
option_sse_spot_price_sina(symbol='10003720') 新浪财经-期权-期权实时数据
option_sse_underlying_spot_price_sina(symbol='sh510300') 期权标的物的实时数据
option_value_analysis_em() 东方财富网-数据中心-特色数据-期权价值分析
option_vol_gfex(symbol='碳酸锂', trade_date='20230724') 广州期货交易所-日频率-合约隐含波动率
option_vol_shfe(symbol='铝期权', trade_date='20250418') 上海期货交易所-期权-日频行情数据

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

A3.5/5.0

Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only vs. mutating, rate limits, authentication requirements, or data freshness. The agent has no explicit information about side effects or access constraints.

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

Conciseness3/5

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

The description is lengthy due to the large method list, but it is structured and front-loaded with a clear overview. However, many sentences are Chinese-only descriptions that could be summarized for an English-language agent, reducing conciseness.

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

Completeness4/5

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

Given the high parameter count (8) and absence of annotations, the description covers a wide range of options data methods with concrete examples. It lacks only high-level guidance on when to use specific methods, but overall it is quite complete for a data retrieval tool.

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

Parameters5/5

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

Though the input schema has 0% description coverage, the description provides exhaustive documentation for each method via concrete examples and parameter patterns (e.g., symbol='io2202P4350'). This adds high value beyond the generic schema parameters, enabling the agent to construct correct calls.

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

Purpose5/5

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

The description explicitly states it provides 'Options data: SSE/SZSE ETF options, CFFEX index options, commodity options, option Greeks, margin requirements, and historical option chains.' This clearly identifies the tool's domain and distinguishes it from sibling tools like akshare_stock_a or akshare_futures.

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?

The description enumerates many methods but offers no explicit guidance on when to use this tool versus alternatives, or which method to choose for a given scenario. The user must infer usage from the method names and Chinese descriptions, which is insufficient for an AI agent.

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

akshare_otherC

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

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2.4/5.0

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.

akshare_stock_aC

A-share (沪深京) stock data: real-time quotes (spot), historical daily/weekly/monthly bars, minute bars, limit-up/down pools (涨停板), IPO/recent listings, dragon-tiger list (龙虎榜), market summaries, individual stock profiles, and trading calendar.

Available Methods

get_us_stock_name() u.s. stock's english name, chinese name and symbol
stock_a_all_pb() 全部A股-等权重市净率、中位数市净率
stock_a_below_net_asset_statistics(symbol='全部A股') 破净股统计历史走势
stock_a_gxl_lg(symbol='上证A股') 乐咕乐股-股息率-A 股股息率
stock_a_high_low_statistics(symbol='all') 乐咕乐股-创新高、新低的股票数量
stock_a_ttm_lyr() 全部 A 股-等权重市盈率、中位数市盈率
stock_allotment_cninfo(symbol='600030', start_date='19700101', end_date='22220222') 巨潮资讯-个股-配股实施方案
stock_analyst_detail_em(analyst_id='11000200926', indicator='最新跟踪成分股') 东方财富网-数据中心-研究报告-东方财富分析师指数-东方财富分析师指数2020最新排行-分析师详情
stock_analyst_rank_em(year='2024') 东方财富网-数据中心-研究报告-东方财富分析师指数-东方财富分析师指数
stock_balance_sheet_by_report_delisted_em(symbol='SZ000013') 东方财富-股票-财务分析-资产负债表-已退市股票-按报告期
stock_balance_sheet_by_report_em(symbol='SH600519') 东方财富-股票-财务分析-资产负债表-按报告期
stock_balance_sheet_by_yearly_em(symbol='SH600036') 东方财富-股票-财务分析-资产负债表-按年度
stock_bid_ask_em(symbol='000001') 东方财富-行情报价
stock_bj_a_spot_em() 东方财富网-京 A 股-实时行情
stock_buffett_index_lg() 乐估乐股-底部研究-巴菲特指标
stock_cash_flow_sheet_by_quarterly_em(symbol='SH600519') 东方财富-股票-财务分析-现金流量表-按单季度
stock_cash_flow_sheet_by_report_delisted_em(symbol='SZ000013') 东方财富-股票-财务分析-现金流量表-已退市股票-按报告期
stock_cash_flow_sheet_by_report_em(symbol='SH600519') 东方财富-股票-财务分析-现金流量表-按报告期
stock_cash_flow_sheet_by_yearly_em(symbol='SH600519') 东方财富-股票-财务分析-现金流量表-按年度
stock_cg_equity_mortgage_cninfo(date='20210930') 巨潮资讯-数据中心-专题统计-公司治理-股权质押
stock_cg_guarantee_cninfo(symbol='全部', start_date='20180630', end_date='20210927') 巨潮资讯-数据中心-专题统计-公司治理-对外担保
stock_cg_lawsuit_cninfo(symbol='全部', start_date='20180630', end_date='20210927') 巨潮资讯-数据中心-专题统计-公司治理-公司诉讼
stock_changes_em(symbol='大笔买入') 东方财富-行情中心-盘口异动
stock_classify_sina(symbol='热门概念') 按 symbol 分类后的股票
stock_comment_detail_scrd_desire_em(symbol='600000') 东方财富网-数据中心-特色数据-千股千评-市场热度-市场参与意愿
stock_comment_detail_scrd_focus_em(symbol='600000') 东方财富网-数据中心-特色数据-千股千评-市场热度-用户关注指数
stock_comment_detail_zhpj_lspf_em(symbol='600000') 东方财富网-数据中心-特色数据-千股千评-综合评价-历史评分
stock_comment_detail_zlkp_jgcyd_em(symbol='600000') 东方财富网-数据中心-特色数据-千股千评-主力控盘-机构参与度
stock_comment_em() 东方财富网-数据中心-特色数据-千股千评
stock_concept_cons_futu(symbol='特朗普概念股') 富途牛牛-主题投资-概念板块-成分股
stock_concept_fund_flow_hist(symbol='数据要素') 东方财富网-数据中心-资金流向-概念资金流-概念历史资金流
stock_cy_a_spot_em() 东方财富网-创业板-实时行情
stock_cyq_em(symbol='000001', adjust='') 东方财富网-概念板-行情中心-日K-筹码分布
stock_dividend_cninfo(symbol='600009') 巨潮资讯-个股-历史分红
stock_dxsyl_em() 东方财富网-数据中心-新股申购-打新收益率
stock_dzjy_hygtj(symbol='近三月') 东方财富网-数据中心-大宗交易-活跃 A 股统计
stock_dzjy_hyyybtj(symbol='近3日') 东方财富网-数据中心-大宗交易-活跃营业部统计
stock_dzjy_mrmx(symbol='基金', start_date='20220104', end_date='20220104') 东方财富网-数据中心-大宗交易-每日明细
stock_dzjy_mrtj(start_date='20220105', end_date='20220105') 东方财富网-数据中心-大宗交易-每日统计
stock_dzjy_sctj() 东方财富网-数据中心-大宗交易-市场统计
stock_dzjy_yybph(symbol='近三月') 东方财富网-数据中心-大宗交易-营业部排行
stock_ebs_lg() 乐咕乐股-股债利差
stock_esg_hz_sina() 新浪财经-ESG评级中心-ESG评级-华证指数
stock_esg_msci_sina() 新浪财经-ESG评级中心-ESG评级-MSCI
stock_esg_rate_sina() 新浪财经-ESG评级中心-ESG评级-ESG评级数据
stock_esg_rft_sina() 新浪财经-ESG评级中心-ESG评级-路孚特
stock_esg_zd_sina() 新浪财经-ESG评级中心-ESG评级-秩鼎
stock_fhps_detail_em(symbol='300073') 东方财富网-数据中心-分红送配-分红送配详情
stock_fhps_detail_ths(symbol='603444') 同花顺-分红情况
stock_fhps_em(date='20231231') 东方财富网-数据中心-年报季报-分红送配
stock_gddh_em() 东方财富网-数据中心-股东大会
stock_gdfx_free_holding_analyse_em(date='20230930') 东方财富网-数据中心-股东分析-股东持股分析-十大流通股东
stock_gdfx_free_holding_change_em(date='20210930') 东方财富网-数据中心-股东分析-股东持股变动统计-十大流通股东
stock_gdfx_free_holding_detail_em(date='20210930') 东方财富网-数据中心-股东分析-股东持股明细-十大流通股东
stock_gdfx_free_holding_statistics_em(date='20210630') 东方财富网-数据中心-股东分析-股东持股统计-十大流通股东
stock_gdfx_free_holding_teamwork_em(symbol='社保') 东方财富网-数据中心-股东分析-股东协同-十大流通股东
stock_gdfx_free_top_10_em(symbol='sh688686', date='20240930') 东方财富网-个股-十大流通股东
stock_gdfx_holding_analyse_em(date='20230331') 东方财富网-数据中心-股东分析-股东持股分析-十大股东
stock_gdfx_holding_change_em(date='20210930') 东方财富网-数据中心-股东分析-股东持股变动统计-十大股东
stock_gdfx_holding_detail_em(date='20230331', indicator='个人', symbol='新进') 东方财富网-数据中心-股东分析-股东持股明细-十大股东
stock_gdfx_holding_statistics_em(date='20210930') 东方财富网-数据中心-股东分析-股东持股统计-十大股东
stock_gdfx_holding_teamwork_em(symbol='社保') 东方财富网-数据中心-股东分析-股东协同-十大股东
stock_gdfx_top_10_em(symbol='sh688686', date='20210630') 东方财富网-个股-十大股东
stock_ggcg_em(symbol='全部') 东方财富网-数据中心-特色数据-高管持股
stock_gpzy_distribute_statistics_bank_em() 东方财富网-数据中心-特色数据-股权质押-质押机构分布统计-银行
stock_gpzy_distribute_statistics_company_em() 东方财富网-数据中心-特色数据-股权质押-质押机构分布统计-证券公司
stock_gpzy_individual_pledge_ratio_detail_em(symbol)
stock_gpzy_industry_data_em() 东方财富网-数据中心-特色数据-股权质押-上市公司质押比例-行业数据
stock_gpzy_pledge_ratio_detail_em()
stock_gpzy_pledge_ratio_em(date='20240906') 东方财富网-数据中心-特色数据-股权质押-上市公司质押比例
stock_gpzy_profile_em() 东方财富网-数据中心-特色数据-股权质押-股权质押市场概况
stock_gsrl_gsdt_em(date='20230808') 东方财富网-数据中心-股市日历-公司动态
stock_hold_change_cninfo(symbol='全部') 巨潮资讯-数据中心-专题统计-股东股本-股本变动
stock_hold_control_cninfo(symbol='全部') 巨潮资讯-数据中心-专题统计-股东股本-实际控制人持股变动
stock_hold_management_detail_cninfo(symbol='增持') 巨潮资讯-数据中心-专题统计-股东股本-高管持股变动明细
stock_hold_management_detail_em() 东方财富网-数据中心-特色数据-高管持股-董监高及相关人员持股变动明细
stock_hold_management_person_em(symbol='001308', name='吴远') 东方财富网-数据中心-特色数据-高管持股-人员增减持股变动明细
stock_hold_num_cninfo(date='20210630') 巨潮资讯-数据中心-专题统计-股东股本-股东人数及持股集中度
stock_hot_deal_xq(symbol='最热门') 雪球-沪深股市-热度排行榜-分享交易排行榜
stock_hot_follow_xq(symbol='最热门') 雪球-沪深股市-热度排行榜-关注排行榜
stock_hot_keyword_em(symbol='SZ000665') 东方财富-个股人气榜-热门关键词
stock_hot_rank_detail_em(symbol='SZ000665') 东方财富-个股人气榜-历史趋势及粉丝特征
stock_hot_rank_detail_realtime_em(symbol='SZ000665') 东方财富-个股人气榜-实时变动
stock_hot_rank_em() 东方财富-个股人气榜-人气榜
stock_hot_rank_latest_em(symbol='SZ000665') 东方财富-个股人气榜-最新排名
stock_hot_rank_relate_em(symbol='SZ000665') 东方财富-个股人气榜-相关股票
stock_hot_search_baidu(symbol='A股', date='20250616', time='今日') 百度股市通-热搜股票
stock_hot_tweet_xq(symbol='最热门') 雪球-沪深股市-热度排行榜-讨论排行榜
stock_hot_up_em() 东方财富-个股人气榜-飙升榜
stock_index_pb_lg(symbol='上证50') 乐咕乐股-指数市净率
stock_index_pe_lg(symbol='沪深300') 乐咕乐股-指数市盈率
stock_individual_fund_flow(stock='600094', market='sh') 东方财富网-数据中心-资金流向-个股
stock_individual_fund_flow_rank(indicator='5日') 东方财富网-数据中心-资金流向-排名
stock_individual_info_em(symbol='603777', timeout=None) 东方财富-个股-股票信息
stock_individual_spot_xq(symbol='SH600000', token=None, timeout=None) 雪球-行情中心-个股
stock_industry_category_cninfo(symbol='巨潮行业分类标准') 巨潮资讯-行业分类数据
stock_industry_change_cninfo(symbol='002594', start_date='20091227', end_date='20220713') 巨潮资讯-上市公司行业归属的变动情况
stock_industry_clf_hist_sw() 申万宏源研究-行业分类-全部行业分类
stock_industry_pe_ratio_cninfo(symbol='证监会行业分类', date='20210910') 巨潮资讯-数据中心-行业分析-行业市盈率
stock_inner_trade_xq() 雪球-行情中心-沪深股市-内部交易
stock_intraday_em(symbol='000001') 东方财富-分时数据
stock_intraday_sina(symbol='sz000001', date='20240321') 新浪财经-日内分时数据
stock_ipo_benefit_ths() 同花顺-数据中心-新股数据-IPO受益股
stock_ipo_summary_cninfo(symbol='600030') 巨潮资讯-个股-上市相关
stock_irm_ans_cninfo(symbol='1513586704097333248') 互动易-回答
stock_irm_cninfo(symbol='002594') 互动易-提问
stock_jgdy_detail_em(date='20241211') 东方财富网-数据中心-特色数据-机构调研-机构调研详细
stock_jgdy_tj_em(date='20220101') 东方财富网-数据中心-特色数据-机构调研-机构调研统计
stock_js_weibo_nlp_time() https://datacenter.jin10.com/market
stock_js_weibo_report(time_period='CNHOUR12') 金十数据中心-实时监控-微博舆情报告
stock_kc_a_spot_em() 东方财富网-科创板-实时行情
stock_lh_yyb_capital() 同花顺-数据中心-营业部排名-资金实力最强
stock_lh_yyb_control() 同花顺-数据中心-营业部排名-抱团操作实力
stock_lh_yyb_most() 同花顺-数据中心-营业部排名-上榜次数最多
stock_lhb_detail_daily_sina(date='20240222') 龙虎榜-每日详情
stock_lhb_detail_em(start_date='20230403', end_date='20230417') 东方财富网-数据中心-龙虎榜单-龙虎榜详情
stock_lhb_ggtj_sina(symbol='5') 龙虎榜-个股上榜统计
stock_lhb_hyyyb_em(start_date='20220324', end_date='20220324') 东方财富网-数据中心-龙虎榜单-每日活跃营业部
stock_lhb_jgmmtj_em(start_date='20240417', end_date='20240430') 东方财富网-数据中心-龙虎榜单-机构买卖每日统计
stock_lhb_jgmx_sina() 龙虎榜-机构席位成交明细
stock_lhb_jgstatistic_em(symbol='近一月') 东方财富网-数据中心-龙虎榜单-机构席位追踪
stock_lhb_jgzz_sina(symbol='5') 龙虎榜-机构席位追踪
stock_lhb_stock_detail_date_em(symbol='600077') 东方财富网-数据中心-龙虎榜单-个股龙虎榜详情-日期
stock_lhb_stock_detail_em(symbol='000788', date='20220315', flag='卖出') 东方财富网-数据中心-龙虎榜单-个股龙虎榜详情
stock_lhb_stock_statistic_em(symbol='近一月') 东方财富网-数据中心-龙虎榜单-个股上榜统计
stock_lhb_traderstatistic_em(symbol='近一月') 东方财富网-数据中心-龙虎榜单-营业部统计
stock_lhb_yyb_detail_em(symbol='10188715') 东方财富网-数据中心-龙虎榜单-营业部历史交易明细-营业部交易明细
stock_lhb_yybph_em(symbol='近一月') 东方财富网-数据中心-龙虎榜单-营业部排行
stock_lhb_yytj_sina(symbol='5') 龙虎榜-营业部上榜统计
stock_lrb_em(date='20240331') 东方财富-数据中心-年报季报-业绩快报-利润表
stock_main_fund_flow(symbol='全部股票') 东方财富网-数据中心-资金流向-主力净流入排名
stock_news_main_cx() 财新网-财新数据通
stock_pg_em() 东方财富网-数据中心-新股数据-配股
stock_price_js(symbol='us') 美股目标价 or 港股目标价
stock_profile_cninfo(symbol='600030') 巨潮资讯-个股-公司概况
stock_profit_sheet_by_quarterly_em(symbol='SH600519') 东方财富-股票-财务分析-利润表-按单季度
stock_profit_sheet_by_report_delisted_em(symbol='SZ000013') 东方财富-股票-财务分析-利润表-已退市股票-按报告期
stock_profit_sheet_by_report_em(symbol='SH600519') 东方财富-股票-财务分析-利润表-报告期
stock_profit_sheet_by_yearly_em(symbol='SH600519') 东方财富-股票-财务分析-利润表-按年度
stock_qbzf_em() 东方财富网-数据中心-新股数据-增发-全部增发
stock_qsjy_em(date='20200731') 东方财富网-数据中心-特色数据-券商业绩月报
stock_rank_cxd_ths(symbol='创月新低') 同花顺-数据中心-技术选股-创新低
stock_rank_cxfl_ths() 同花顺-数据中心-技术选股-持续放量
stock_rank_cxg_ths(symbol='创月新高') 同花顺-数据中心-技术选股-创新高
stock_rank_cxsl_ths() 同花顺-数据中心-技术选股-持续缩量
stock_rank_forecast_cninfo(date='20230817') 巨潮资讯-数据中心-评级预测-投资评级
stock_rank_ljqd_ths() 同花顺-数据中心-技术选股-量价齐跌
stock_rank_ljqs_ths() 同花顺-数据中心-技术选股-量价齐升
stock_rank_lxsz_ths() 同花顺-数据中心-技术选股-连续上涨
stock_rank_lxxd_ths() 同花顺-数据中心-技术选股-连续下跌
stock_rank_xstp_ths(symbol='500日均线') 同花顺-数据中心-技术选股-向上突破
stock_rank_xxtp_ths(symbol='500日均线') 同花顺-数据中心-技术选股-向下突破
stock_rank_xzjp_ths() 同花顺-数据中心-技术选股-险资举牌
stock_report_disclosure(market='沪深京', period='2021年报') 巨潮资讯-首页-数据-预约披露
stock_report_fund_hold(symbol='基金持仓', date='20210331') 东方财富网-数据中心-主力数据-基金持仓
stock_report_fund_hold_detail(symbol='008286', date='20220331') 东方财富网-数据中心-主力数据-基金持仓-明细
stock_repurchase_em() 东方财富网-数据中心-股票回购-股票回购数据
stock_research_report_em(symbol='000001') 东方财富网-数据中心-研究报告-个股研报
stock_sgt_reference_exchange_rate_sse() 沪港通-港股通信息披露-参考汇率
stock_sgt_reference_exchange_rate_szse() 深港通-港股通业务信息-参考汇率
stock_sgt_settlement_exchange_rate_sse() 沪港通-港股通信息披露-结算汇兑
stock_sgt_settlement_exchange_rate_szse() 深港通-港股通业务信息-结算汇率
stock_sh_a_spot_em() 东方财富网-沪 A 股-实时行情
stock_share_change_cninfo(symbol='002594', start_date='20091227', end_date='20241021') 巨潮资讯-股本股东-公司股本变动
stock_share_hold_change_bse(symbol='430489') 北京证券交易所-信息披露-监管信息-董监高及相关人员持股变动
stock_share_hold_change_sse(symbol='600000') 上海证券交易所-披露-监管信息公开-公司监管-董董监高人员股份变动
stock_share_hold_change_szse(symbol='全部') 深圳证券交易所-信息披露-监管信息公开-董监高人员股份变动
stock_sns_sseinfo(symbol='603119') 上证e互动-提问与回答
stock_sse_deal_daily(date='20241216') 上海证券交易所-数据-股票数据-成交概况-股票成交概况-每日股票情况
stock_sse_summary() 上海证券交易所-总貌
stock_staq_net_stop() 东方财富网-行情中心-沪深个股-两网及退市
stock_sy_em(date='20231231') 东方财富网-数据中心-特色数据-商誉-个股商誉明细
stock_sy_hy_em(date='20240930') 东方财富网-数据中心-特色数据-商誉-行业商誉
stock_sy_jz_em(date='20240630') 东方财富网-数据中心-特色数据-商誉-个股商誉减值明细
stock_sy_profile_em() 东方财富网-数据中心-特色数据-商誉-A股商誉市场概况
stock_sy_yq_em(date='20240630') 东方财富网-数据中心-特色数据-商誉-商誉减值预期明细
stock_sz_a_spot_em() 东方财富网-深 A 股-实时行情
stock_tfp_em(date='20240426') 东方财富网-数据中心-特色数据-停复牌信息
stock_value_em(symbol='300766') 东方财富网-数据中心-估值分析-每日互动-每日互动-估值分析
stock_xgsglb_em(symbol='全部股票') 新股申购与中签查询
stock_xgsr_ths() 同花顺-数据中心-新股数据-新股上市首日
stock_xjll_em(date='20240331') 东方财富-数据中心-年报季报-业绩快报-现金流量表
stock_yjbb_em(date='20200331') 东方财富-数据中心-年报季报-业绩快报-业绩报表
stock_yjkb_em(date='20211231') 东方财富-数据中心-年报季报-业绩快报
stock_yjyg_em(date='20200331') 东方财富-数据中心-年报季报-业绩预告
stock_yysj_em(symbol='沪深A股', date='20200331') 东方财富-数据中心-年报季报-预约披露时间
stock_yzxdr_em(date='20240930') 东方财富网-数据中心-特色数据-一致行动人
stock_zcfz_bj_em(date='20240331') 东方财富-数据中心-年报季报-业绩快报-资产负债表
stock_zcfz_em(date='20240331') 东方财富-数据中心-年报季报-业绩快报-资产负债表
stock_zdhtmx_em(start_date='20200819', end_date='20230819') 东方财富网-数据中心-重大合同-重大合同明细
stock_zh_a_cdr_daily(symbol='sh689009', start_date='19900101', end_date='22201116') 新浪财经-A股-CDR个股的历史行情数据, 大量抓取容易封 IP
stock_zh_a_daily(symbol='sh603843', start_date='19900101', end_date='21000118', adjust='') 新浪财经-A 股-个股的历史行情数据, 大量抓取容易封 IP
stock_zh_a_disclosure_relation_cninfo(symbol='000001', market='沪深京', start_date='20230618', end_date='20231219') 巨潮资讯-首页-数据-预约披露调研
stock_zh_a_disclosure_report_cninfo(symbol='000001', market='沪深京', keyword='', category='', start_date='20230618', end_date='20231219') 巨潮资讯-首页-公告查询-信息披露公告
stock_zh_a_gdhs(symbol='20230930') 东方财富网-数据中心-特色数据-股东户数
stock_zh_a_hist(symbol='000001', period='daily', start_date='19700101', end_date='20500101', adjust='', timeout=None) 东方财富网-行情首页-沪深京 A 股-每日行情
stock_zh_a_hist_min_em(symbol='000001', start_date='1979-09-01 09:32:00', end_date='2222-01-01 09:32:00', period='5', adjust='') 东方财富网-行情首页-沪深京 A 股-每日分时行情
stock_zh_a_hist_pre_min_em(symbol='000001', start_time='09:00:00', end_time='15:50:00') 东方财富网-行情首页-沪深京 A 股-每日分时行情包含盘前数据
stock_zh_a_hist_tx(symbol='sz000001', start_date='19000101', end_date='20500101', adjust='', timeout=None) 腾讯证券-日频-股票历史数据
stock_zh_a_minute(symbol='sh600519', period='1', adjust='') 股票及股票指数历史行情数据-分钟数据
stock_zh_a_new() 新浪财经-行情中心-沪深股市-次新股
stock_zh_a_spot() 新浪财经-所有 A 股的实时行情数据; 重复运行本函数会被新浪暂时封 IP
stock_zh_a_spot_em() 东方财富网-沪深京 A 股-实时行情
stock_zh_a_st_em() 东方财富网-行情中心-沪深个股-风险警示板
stock_zh_a_tick_tx_js(symbol='sz000001') 腾讯财经-历史分笔数据
stock_zh_ab_comparison_em() 东方财富网-行情中心-沪深京个股-AB股比价-全部AB股比价
stock_zh_ah_daily(symbol='02318', start_year='2000', end_year='2019', adjust='') 腾讯财经-港股-AH-股票历史行情
stock_zh_ah_name() 腾讯财经-港股-AH-股票名称
stock_zh_ah_spot() 腾讯财经-港股-AH-实时行情
stock_zh_ah_spot_em() 东方财富网-行情中心-沪深港通-AH股比价-实时行情
stock_zh_dupont_comparison_em(symbol='SZ000895') 东方财富-行情中心-同行比较-杜邦分析比较
stock_zh_growth_comparison_em(symbol='SZ000895') 东方财富-行情中心-同行比较-成长性比较
stock_zh_kcb_daily(symbol='sh688399', adjust='') 新浪财经-科创板股票的历史行情数据, 大量抓取容易封IP
stock_zh_kcb_report_em(from_page=1, to_page=100) 科创板报告内容
stock_zh_kcb_spot() 新浪财经-科创板实时行情数据, 大量抓取容易封IP
stock_zh_scale_comparison_em(symbol='SZ000895') 东方财富-行情中心-同行比较-公司规模
stock_zh_valuation_baidu(symbol='002044', indicator='总市值', period='近一年') 百度股市通-A股-财务报表-估值数据
stock_zh_valuation_comparison_em(symbol='SZ000895') 东方财富-行情中心-同行比较-估值比较
stock_zh_vote_baidu(symbol='000001', indicator='指数') 百度股市通- A 股或指数-股评-投票
stock_zt_pool_dtgc_em(date='20241011') 东方财富网-行情中心-涨停板行情-跌停股池
stock_zt_pool_em(date='20241008') 东方财富网-行情中心-涨停板行情-涨停股池
stock_zt_pool_previous_em(date='20240415') 东方财富网-行情中心-涨停板行情-昨日涨停股池
stock_zt_pool_strong_em(date='20241231') 东方财富网-行情中心-涨停板行情-强势股池
stock_zt_pool_sub_new_em(date='20241231') 东方财富网-行情中心-涨停板行情-次新股池
stock_zt_pool_zbgc_em(date='20241011') 东方财富网-行情中心-涨停板行情-炸板股池
tool_trade_date_hist_sina() 新浪财经-交易日历-历史数据

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2/5.0

Behavior2/5

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

No annotations are provided, and the description only mentions IP blocking risks for certain methods (e.g., '大量抓取容易封 IP'). It lacks systematic disclosure of data freshness, rate limits, or other behavioral traits. The read-only nature is implied but not stated.

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

Conciseness1/5

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

The description is extremely long (200+ lines) and poorly structured as a monolithic list of methods. It lacks categorization or hierarchy, making it hard to parse. Conciseness is sacrificed without gaining clarity.

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 (many sub-functions, 8 parameters), the description is incomplete. It does not explain output schema or how to combine parameters for each method. The lack of categorization further reduces completeness for an agent to correctly invoke the tool.

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?

Schema coverage is 0%—no parameter descriptions in the schema. The description does not explain how the generic parameters (symbol, date, etc.) map to specific methods, nor does it clarify the params_json catch-all. This forces the agent to infer meaning, risking incorrect invocations.

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

Purpose3/5

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

The description states it covers A-share stock data including real-time quotes, historical bars, limit-up pools, etc., which gives a general purpose. However, it does not clearly differentiate from sibling tools like akshare_stock_fundamental or akshare_stock_board_flow, making the scope ambiguous.

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 siblings. The description lists many methods but does not provide context for selection, e.g., when to use this tool for historical data vs. another sibling for fundamental data.

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

akshare_stock_board_flowC

Concept board (概念板块) and industry board (行业板块) data including constituents, index history, and rankings. Capital flow (资金流向) data by individual stock, concept, and industry. Northbound/southbound connect (沪深港通/港股通) trading data including daily flows, turnover, and top-traded stocks.

Available Methods

stock_board_change_em() 东方财富-行情中心-当日板块异动详情
stock_board_concept_cons_em(symbol='融资融券') 东方财富-沪深板块-概念板块-板块成份
stock_board_concept_hist_em(symbol='绿色电力', period='daily', start_date='20220101', end_date='20221128', adjust='') 东方财富网-沪深板块-概念板块-历史行情
stock_board_concept_hist_min_em(symbol='长寿药', period='5') 东方财富网-沪深板块-概念板块-分时历史行情
stock_board_concept_index_ths(symbol='阿里巴巴概念', start_date='20200101', end_date='20250228') 同花顺-板块-概念板块-指数数据
stock_board_concept_info_ths(symbol='阿里巴巴概念') 同花顺-板块-概念板块-板块简介
stock_board_concept_name_em() 东方财富网-行情中心-沪深京板块-概念板块-名称
stock_board_concept_name_ths() 同花顺-板块-概念板块-概念
stock_board_concept_spot_em(symbol='可燃冰') 东方财富网-行情中心-沪深京板块-概念板块-实时行情
stock_board_concept_summary_ths() 同花顺-数据中心-概念板块-概念时间表
stock_board_industry_cons_em(symbol='小金属') 东方财富网-沪深板块-行业板块-板块成份
stock_board_industry_hist_em(symbol='小金属', start_date='20211201', end_date='20220401', period='日k', adjust='') 东方财富网-沪深板块-行业板块-历史行情
stock_board_industry_hist_min_em(symbol='小金属', period='5') 东方财富网-沪深板块-行业板块-分时历史行情
stock_board_industry_index_ths(symbol='元件', start_date='20200101', end_date='20240108') 同花顺-板块-行业板块-指数数据
stock_board_industry_info_ths(symbol='半导体') 同花顺-板块-行业板块-板块简介
stock_board_industry_name_em() 东方财富网-沪深板块-行业板块-名称
stock_board_industry_name_ths() 同花顺-板块-行业板块-行业
stock_board_industry_spot_em(symbol='小金属') 东方财富网-沪深板块-行业板块-实时行情
stock_board_industry_summary_ths() 同花顺-数据中心-行业板块-同花顺行业一览表
stock_fund_flow_big_deal() 同花顺-数据中心-资金流向-大单追踪
stock_fund_flow_concept(symbol='即时') 同花顺-数据中心-资金流向-概念资金流
stock_fund_flow_individual(symbol='即时') 同花顺-数据中心-资金流向-个股资金流
stock_fund_flow_industry(symbol='即时') 同花顺-数据中心-资金流向-行业资金流
stock_hsgt_board_rank_em(symbol='北向资金增持行业板块排行', indicator='今日') 东方财富网-数据中心-沪深港通持股-行业板块排行-北向资金增持行业板块排行
stock_hsgt_fund_flow_summary_em() 东方财富网-数据中心-资金流向-沪深港通资金流向
stock_hsgt_fund_min_em(symbol='北向资金') 东方财富-数据中心-沪深港通-市场概括-分时数据
stock_hsgt_hist_em(symbol='北向资金') 东方财富网-数据中心-资金流向-沪深港通资金流向-沪深港通历史数据
stock_hsgt_hold_stock_em(market='沪股通', indicator='5日排行') 东方财富-数据中心-沪深港通持股-个股排行
stock_hsgt_individual_detail_em(symbol='002008', start_date='20220130', end_date='20220330') 东方财富-数据中心-沪深港通-沪深港通持股-具体股票详情
stock_hsgt_individual_em(symbol='002008') 东方财富-数据中心-沪深港通-沪深港通持股-具体股票
stock_hsgt_institution_statistics_em(market='北向持股', start_date='20220601', end_date='20220609') 东方财富网-数据中心-沪深港通-沪深港通持股-每日机构统计
stock_hsgt_sh_hk_spot_em() 东方财富网-行情中心-沪深港通-港股通(沪>港)-股票
stock_hsgt_stock_statistics_em(symbol='北向持股', start_date='20240110', end_date='20240110') 东方财富网-数据中心-沪深港通-沪深港通持股-每日个股统计
stock_sector_detail(sector='gn_gfgn') 新浪行业-板块行情-成份详情
stock_sector_fund_flow_hist(symbol='汽车服务') 东方财富网-数据中心-资金流向-行业资金流-行业历史资金流
stock_sector_fund_flow_rank(indicator='今日', sector_type='行业资金流') 东方财富网-数据中心-资金流向-板块资金流-排名
stock_sector_fund_flow_summary(symbol='电源设备', indicator='今日') 东方财富网-数据中心-资金流向-行业资金流-xx行业个股资金流
stock_sector_spot(indicator='新浪行业') 新浪行业-板块行情

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2.4/5.0

Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as authentication requirements, rate limits, side effects, or data retrieval vs. mutation. The list of methods implies data retrieval, but there is no explicit statement about safety or performance characteristics.

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 overly long, containing a large numbered list of 30+ methods with Chinese descriptions. It lacks a concise overview and buries the purpose in a wall of text. While structured as a list, it is not front-loaded with essential information; many entries are redundant for understanding the tool's core functionality.

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 (multiple data categories, 8 parameters), the description is incomplete. It does not explain return values despite an output schema being present. The method list is detailed but lacks context on how the parameters (like 'date' or 'adjust') interact with specific methods, leaving substantial gaps 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?

Schema description coverage is 0%, and the description does not explain any parameters. While some methods include example values in parentheses (e.g., symbol='融资融券'), there is no general definition of parameters like 'symbol', 'start_date', or 'period'. The agent must guess parameter meaning from context, which is insufficient.

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 starts with a clear summary stating it covers concept/industry board data, capital flow, and northbound/southbound connect data. This effectively communicates the tool's domain. However, it does not explicitly differentiate from sibling tools like akshare_stock_a or akshare_index, relying instead on the tool name and the listed methods to imply distinction.

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 guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, use cases, or exclusions. The description simply lists available methods without any strategic instructions for selection, leaving the agent to infer usage from method names alone.

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

akshare_stock_fundamentalC

A-share fundamental data: financial statements (balance sheet, income, cash flow — 新浪/东财/同花顺 by report period, year, quarter), key financial indicators, profit forecasts, shareholder structure, executive holdings, restricted shares, IPO declarations, ESG ratings, dividend history, stock pledges, and institutional research activity.

Available Methods

stock_add_stock(symbol='688166') 新浪财经-发行与分配-增发
stock_circulate_stock_holder(symbol='600000') 新浪财经-股东股本-流通股东
stock_financial_abstract(symbol='600004') 新浪财经-财务报表-关键指标
stock_financial_abstract_new_ths(symbol='000063', indicator='按报告期') 同花顺-财务指标-重要指标
stock_financial_abstract_ths(symbol='000063', indicator='按报告期') 同花顺-财务指标-主要指标
stock_financial_analysis_indicator(symbol='600004', start_year='1900') 新浪财经-财务分析-财务指标
stock_financial_analysis_indicator_em(symbol='301389.SZ', indicator='按报告期') 东方财富-A股-财务分析-主要指标
stock_financial_benefit_new_ths(symbol='000063', indicator='按报告期') 同花顺-财务指标-利润表
stock_financial_benefit_ths(symbol='000063', indicator='按报告期') 同花顺-财务指标-利润表
stock_financial_cash_new_ths(symbol='000063', indicator='按报告期') 同花顺-财务指标-现金流量表
stock_financial_cash_ths(symbol='000063', indicator='按报告期') 同花顺-财务指标-现金流量表
stock_financial_debt_new_ths(symbol='000063', indicator='按报告期') 同花顺-财务指标-资产负债表
stock_financial_debt_ths(symbol='000063', indicator='按报告期') 同花顺-财务指标-资产负债表
stock_financial_hk_analysis_indicator_em(symbol='00853', indicator='年度') 东方财富-港股-财务分析-主要指标
stock_financial_hk_report_em(stock='00700', symbol='资产负债表', indicator='年度') 东方财富-港股-财务报表-三大报表
stock_financial_report_sina(stock='sh600600', symbol='资产负债表') 新浪财经-财务报表-三大报表
stock_financial_us_analysis_indicator_em(symbol='TSLA', indicator='年报') 东方财富-美股-财务分析-主要指标
stock_financial_us_report_em(stock='TSLA', symbol='资产负债表', indicator='年报') 东方财富-美股-财务分析-三大报表
stock_fund_stock_holder(symbol='600004') 新浪财经-股本股东-基金持股
stock_history_dividend() 新浪财经-发行与分配-历史分红
stock_history_dividend_detail(symbol='000002', indicator='分红', date='') 新浪财经-发行与分配-分红配股详情
stock_individual_basic_info_hk_xq(symbol='02097', token=None, timeout=None) 雪球-个股-公司概况-公司简介
stock_individual_basic_info_us_xq(symbol='NVDA', token=None, timeout=None) 雪球-个股-公司概况-公司简介
stock_individual_basic_info_xq(symbol='SH601127', token=None, timeout=None) 雪球-个股-公司概况-公司简介
stock_individual_notice_report(security, symbol='全部', begin_date=None, end_date=None) 东方财富网-数据中心-公告大全-个股
stock_institute_hold(symbol='20051') 新浪财经-股票-机构持股一览表
stock_institute_hold_detail(stock='600433', quarter='20201') 新浪财经-股票-机构持股详情
stock_institute_recommend(symbol='投资评级选股') 新浪财经-机构推荐池-最新投资评级
stock_institute_recommend_detail(symbol='000001') 新浪财经-机构推荐池-股票评级记录
stock_ipo_declare_em() 东方财富网-数据中心-新股数据-首发申报企业信息
stock_ipo_hk_ths() 同花顺-数据中心-新股申购与中签-港股
stock_ipo_info(stock='600004') 新浪财经-发行与分配-新股发行
stock_ipo_review_em() 东方财富网-数据中心-新股申购-新股上会信息
stock_ipo_ths(symbol='全部A股') 同花顺-数据中心-新股申购与中签
stock_ipo_tutor_em() 东方财富网-数据中心-新股数据-IPO辅导信息
stock_main_stock_holder(stock='600004') 新浪财经-股本股东-主要股东
stock_management_change_ths(symbol='688981') 同花顺-公司大事-高管持股变动
stock_notice_report(symbol='全部', date='20220511') 东方财富网-数据中心-公告大全-沪深京 A 股公告
stock_profit_forecast_em(symbol='') 东方财富网-数据中心-研究报告-盈利预测
stock_profit_forecast_ths(symbol='600519', indicator='预测年报每股收益') 同花顺-盈利预测
stock_register_all_em() 东方财富网-数据中心-新股数据-IPO审核信息-全部
stock_register_bj() 东方财富网-数据中心-新股数据-IPO审核信息-北交所
stock_register_cyb() 东方财富网-数据中心-新股数据-IPO审核信息-创业板
stock_register_db() 东方财富网-数据中心-新股数据-IPO审核信息-达标企业
stock_register_kcb() 东方财富网-数据中心-新股数据-IPO审核信息-科创板
stock_register_sh() 东方财富网-数据中心-新股数据-IPO审核信息-上海主板
stock_register_sz() 东方财富网-数据中心-新股数据-IPO审核信息-深圳主板
stock_restricted_release_detail_em(start_date='20221202', end_date='20241202') 东方财富网-数据中心-限售股解禁-解禁详情一览
stock_restricted_release_queue_em(symbol='600000') 东方财富网-数据中心-个股限售解禁-解禁批次
stock_restricted_release_queue_sina(symbol='600000') 新浪财经-发行分配-限售解禁
stock_restricted_release_stockholder_em(symbol='600000', date='20200904') 东方财富网-数据中心-个股限售解禁-解禁股东
stock_restricted_release_summary_em(symbol='全部股票', start_date='20221101', end_date='20221209') 东方财富网-数据中心-特色数据-限售股解禁
stock_shareholder_change_ths(symbol='688981') 同花顺-公司大事-股东持股变动
stock_zh_a_gbjg_em(symbol='603392.SH') 东方财富-A股数据-股本结构
stock_zygc_em(symbol='SH688041') 东方财富网-个股-主营构成
stock_zyjs_ths(symbol='000066') 同花顺-主营介绍

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2.5/5.0

Behavior2/5

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

No annotations are provided, so the description must disclose behavior, but it only lists methods without stating side effects, reading nature, or error handling. It mentions data sources (新浪/东财/同花顺) which adds some value, but overall transparency is low.

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 unnecessarily long with an exhaustive list of methods. While the first sentence gives a high-level overview, the remainder is a massive bullet list that could be summarized. Every sentence does not earn its place; much of the content could be moved to a separate reference.

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 (8 parameters, many sub-functions) and the lack of schema descriptions, the description fails to be complete. It does not explain the purpose of universal parameters like params_json, nor does it cover how output schema relates to each method. Significant gaps remain despite the length.

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

Parameters2/5

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, yet the description does not explain the universal parameters (date, adjust, period, params_json) in the schema. The method listing shows example parameters for sub-functions but does not map to the schema, leaving agents unable to understand how to properly fill parameters.

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 the tool provides A-share fundamental data including financial statements, indicators, forecasts, etc. This distinguishes it from sibling tools like akshare_stock_a, but the structure as a long list of sub-functions detracts from immediate clarity.

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 alternatives. The description does not mention scenarios where other sibling tools would be more appropriate, leaving the agent to rely on naming conventions alone.

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

akshare_stock_hk_usC

Hong Kong and US stock data: HK stock profiles, financials, dividend history, industry comparisons; US stock real-time and historical quotes, and exchange information.

Available Methods

stock_hk_company_profile_em(symbol='03900') 东方财富-港股-公司资料
stock_hk_daily(symbol='00981', adjust='') 新浪财经-港股-个股的历史行情数据
stock_hk_dividend_payout_em(symbol='03900') 东方财富-港股-核心必读-分红派息
stock_hk_famous_spot_em() 东方财富网-行情中心-港股市场-知名港股
stock_hk_fhpx_detail_ths(symbol='0700') 同花顺-港股-分红派息
stock_hk_financial_indicator_em(symbol='03900') 东方财富-港股-核心必读-最新指标
stock_hk_ggt_components_em() 东方财富网-行情中心-港股市场-港股通成份股
stock_hk_growth_comparison_em(symbol='03900') 东方财富-港股-行业对比-成长性对比
stock_hk_gxl_lg() 乐咕乐股-股息率-恒生指数股息率
stock_hk_hist(symbol='00593', period='daily', start_date='19700101', end_date='22220101', adjust='') 东方财富网-行情-港股-每日行情
stock_hk_hist_min_em(symbol='01611', period='1', adjust='', start_date='1979-09-01 09:32:00', end_date='2222-01-01 09:32:00') 东方财富网-行情-港股-每日分时行情
stock_hk_hot_rank_detail_em(symbol='00700') 东方财富-个股人气榜-历史趋势
stock_hk_hot_rank_detail_realtime_em(symbol='00700') 东方财富-个股人气榜-实时变动
stock_hk_hot_rank_em() 东方财富-个股人气榜-人气榜-港股市场
stock_hk_hot_rank_latest_em(symbol='00700') 东方财富-个股人气榜-最新排名
stock_hk_index_daily_em(symbol='HSTECF2L') 东方财富网-港股-股票指数数据
stock_hk_index_daily_sina(symbol='CES100') 新浪财经-港股指数-历史行情数据
stock_hk_index_spot_em() 东方财富网-行情中心-港股-指数实时行情
stock_hk_index_spot_sina() 新浪财经-行情中心-港股指数
stock_hk_indicator_eniu(symbol='hk01093', indicator='市盈率') 亿牛网-港股指标
stock_hk_main_board_spot_em() 东方财富网-港股-主板-实时行情
stock_hk_profit_forecast_et(symbol='09999', indicator='盈利预测概览') 经济通-公司资料-盈利预测
stock_hk_scale_comparison_em(symbol='03900') 东方财富-港股-行业对比-规模对比
stock_hk_security_profile_em(symbol='03900') 东方财富-港股-证券资料
stock_hk_spot() 新浪财经-港股的所有港股的实时行情数据
stock_hk_spot_em() 东方财富网-港股-实时行情
stock_hk_valuation_baidu(symbol='06969', indicator='总市值', period='近一年') 百度股市通-港股-财务报表-估值数据
stock_hk_valuation_comparison_em(symbol='03900') 东方财富-港股-行业对比-估值对比
stock_us_daily(symbol='FB', adjust='') 新浪财经-美股
stock_us_famous_spot_em(symbol='科技类') 东方财富网-行情中心-美股市场-知名美股
stock_us_hist(symbol='105.MSFT', period='daily', start_date='19700101', end_date='22220101', adjust='') 东方财富网-行情-美股-每日行情
stock_us_hist_min_em(symbol='105.ATER', start_date='1979-09-01 09:32:00', end_date='2222-01-01 09:32:00') 东方财富网-行情首页-美股-每日分时行情
stock_us_pink_spot_em() 东方财富网-行情中心-美股市场-粉单市场
stock_us_spot() 新浪财经-所有美股的数据, 注意延迟 15 分钟
stock_us_spot_em() 东方财富网-美股-实时行情
stock_us_valuation_baidu(symbol='NVDA', indicator='总市值', period='近一年') 百度股市通-美股-财务报表-估值数据

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

C2.3/5.0

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 read-only nature, authorization needs, rate limits, or effects. Only method names and sources are given, which is insufficient for safe invocation.

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 excessively long and unstructured, presented as a flat list of methods without grouping or hierarchy. It could be condensed into a brief overview with links to method details, but instead overloads the agent with raw enumeration.

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?

Despite the presence of an output schema, the description lacks essential context: how to choose a method, what the 'method' parameter values are (only examples), and how to construct other parameters. The tool's complexity is high, but the description does not sufficiently compensate.

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

Parameters2/5

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

Schema description coverage is 0%, yet the description does not explain parameters. It shows example values (e.g., symbol='03900') but does not clarify their meaning, formatting, or optionality. The long list of methods with inline params adds some context but is inconsistent and incomplete.

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

Purpose3/5

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

The description begins with 'Hong Kong and US stock data', which broadly indicates the resource but lacks a specific verb-action. It is not a tautology, but it fails to state a clear, single purpose or differentiate from siblings like akshare_stock_a beyond asset class.

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 vs siblings. The description simply lists methods without context about selection criteria, prerequisites, or alternatives, leaving the agent to infer usage.

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

akshare_stock_margin_otherD

Margin trading (融资融券) data including daily balances, short selling, and margin ratio changes. Also covers block trades (大宗交易), suspension/resumption (停复牌), chip distribution (筹码分布), technical indicators (技术指标), stock account statistics, market activity, secondary offerings (新股/次新股), stock news and sentiment, and other miscellaneous stock data.

Available Methods

stock_a_congestion_lg() 乐咕乐股-大盘拥挤度
stock_account_statistics_em() 东方财富网-数据中心-特色数据-股票账户统计
stock_info_a_code_name() 沪深京 A 股列表
stock_info_bj_name_code() 北京证券交易所-股票列表
stock_info_change_name(symbol='000503') 新浪财经-股票曾用名
stock_info_cjzc_em() 东方财富-财经早餐
stock_info_global_cls(symbol='全部') 财联社-电报
stock_info_global_em() 东方财富-全球财经快讯
stock_info_global_futu() 富途牛牛-快讯
stock_info_global_sina() 新浪财经-全球财经快讯
stock_info_global_ths() 同花顺财经-全球财经直播
stock_info_sh_delist(symbol='全部') 上海证券交易所-终止上市公司
stock_info_sh_name_code(symbol='主板A股') 上海证券交易所-股票列表
stock_info_sz_change_name(symbol='全称变更') 深证证券交易所-市场数据-股票数据-名称变更
stock_info_sz_delist(symbol='终止上市公司') 深证证券交易所-暂停上市公司-终止上市公司
stock_info_sz_name_code(symbol='A股列表') 深圳证券交易所-股票列表
stock_margin_account_info() 东方财富网-数据中心-融资融券-融资融券账户统计-两融账户信息
stock_margin_detail_sse(date='20230922') 上海证券交易所-融资融券数据-融资融券明细
stock_margin_detail_szse(date='20230925') 深证证券交易所-融资融券数据-融资融券交易明细
stock_margin_ratio_pa(symbol='深市', date='20260113') 融资融券-标的证券名单及保证金比例查询
stock_margin_sse(start_date='20010106', end_date='20230922') 上海证券交易所-融资融券数据-融资融券汇总
stock_margin_szse(date='20240411') 深圳证券交易所-融资融券数据-融资融券汇总
stock_margin_underlying_info_szse(date='20221129') 深圳证券交易所-融资融券数据-标的证券信息
stock_market_activity_legu() 乐咕乐股网-赚钱效应分析
stock_market_fund_flow() 东方财富网-数据中心-资金流向-大盘
stock_market_pb_lg(symbol='上证') 乐咕乐股-主板市净率
stock_market_pe_lg(symbol='深证') 乐咕乐股-主板市盈率
stock_new_a_spot_em() 东方财富网-新股-实时行情
stock_new_gh_cninfo() 巨潮资讯-数据中心-新股数据-新股过会
stock_new_ipo_cninfo() 巨潮资讯-数据中心-新股数据-新股发行
stock_szse_area_summary(date='202203') 深证证券交易所-总貌-地区交易排序
stock_szse_sector_summary(symbol='当月', date='202501') 深圳证券交易所-统计资料-股票行业成交数据
stock_szse_summary(date='20240830') 深证证券交易所-总貌-证券类别统计
stock_zh_a_gdhs_detail_em(symbol='000001') 东方财富网-数据中心-特色数据-股东户数详情
stock_zh_a_new_em() 东方财富网-行情中心-沪深个股-新股
stock_zh_a_stop_em() 东方财富网-行情中心-沪深个股-两网及退市
stock_zh_b_daily(symbol='sh900901', start_date='19900101', end_date='21000118', adjust='') 新浪财经-B 股-个股的历史行情数据, 大量抓取容易封 IP
stock_zh_b_minute(symbol='sh900901', period='1', adjust='') 股票及股票指数历史行情数据-分钟数据
stock_zh_b_spot() 新浪财经-所有 B 股的实时行情数据; 重复运行本函数会被新浪暂时封 IP
stock_zh_b_spot_em() 东方财富网- B 股-实时行情

ParametersJSON Schema

Name	Required	Default
`date`	No
`adjust`	No
`method`	Yes
`period`	No
`symbol`	No
`end_date`	No
`start_date`	No
`params_json`	No	{}

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

D1.6/5.0

Behavior2/5

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

Some methods include notes about IP blocking (e.g., '大量抓取容易封 IP'), but overall behavioral traits such as mutation, rate limits, or idempotency are not disclosed. No annotations provided to compensate.

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

Conciseness1/5

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

The description is extremely long and poorly structured, listing dozens of methods with minimal formatting. It lacks front-loading of essential information and is not concise.

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 (many methods, 8 parameters, no annotations), the description is incomplete. It does not explain how to use parameters, what the output schema contains, or how to choose between methods.

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?

Schema coverage is 0%; the description does not explain any parameters. While the required 'method' parameter is implied by the list of methods, its format and constraints are not described. The 'params_json' parameter with default '{}' adds confusion without explanation.

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

Purpose2/5

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

The description starts with margin trading but then lists many unrelated functions (e.g., stock news, B-shares, account statistics), making the tool's purpose ambiguous. It does not differentiate from sibling tools like akshare_stock_a or akshare_fund.

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

Usage Guidelines1/5

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

No guidance on when to use this tool vs alternatives. The description is a list of methods without any context about use cases or prerequisites.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

14 tool updatesv0.1.0Jul 15, 2026
- First observedakshare_bond
- First observedakshare_discover
- First observedakshare_fund
- First observedakshare_futures
- First observedakshare_fx_commodity
- First observedakshare_index
- First observedakshare_macro
- First observedakshare_option
- First observedakshare_other
- First observedakshare_stock_a
- First observedakshare_stock_board_flow
- First observedakshare_stock_fundamental
- First observedakshare_stock_hk_us
- First observedakshare_stock_margin_other

Install Server

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TDQS

B3.1/5.0

Disambiguation5/5

Each tool targets a distinct financial domain (bonds, funds, futures, forex/commodities, indices, macro, options, miscellaneous, A-stocks, boards/flow, fundamentals, HK/US stocks, margin/other) with clear boundaries and no overlap.

Naming Consistency5/5

All tool names follow a consistent 'akshare_<domain>' pattern using lowercase and underscores, making them predictable and easy to navigate.

Tool Count5/5

The 14 tools appropriately cover a broad financial data scope without being excessive; each tool groups many related functions, keeping the count manageable.

Completeness5/5

The tool set covers a comprehensive range of financial data including stocks, bonds, funds, futures, options, indices, macroeconomics, forex, commodities, and more, leaving no obvious gaps for typical financial analysis needs.

Maintenance

ActivityStale

ResponsivenessNo issues

Resources

GitHub Repository

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MCP directory API

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Overview

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Quick Start

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Usage

Integrating with Claude Desktop

Integration with other MCP clients

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Usage Examples

Query real-time A-share stock quotes

Query historical stock data

Query macroeconomic GDP data

Search for a function

Convertible bond market

Fund flow by stock

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