# LLMQuant Data

## Docs

- [ETF Holdings](https://docs.llmquantdata.com/en/api/etf/holdings.md): Latest/as-of regulatory holdings for one US-listed ETF — full position list, normalized, sorted by weight descending.
- [ETF Lookup](https://docs.llmquantdata.com/en/api/etf/lookup.md): Fund identity, SEC mapping, latest/as-of regulatory snapshot, derived exposure summary, and top holdings for a single US-listed ETF.
- [13F Holdings by Manager](https://docs.llmquantdata.com/en/api/filings/13f-by-manager.md): List a single institutional manager's full SEC Form 13F holdings for a given quarter — the "what is this fund holding?" lookup.
- [13F Holders by Ticker](https://docs.llmquantdata.com/en/api/filings/13f-by-ticker.md): Find which Top 1,000 institutional managers hold a given U.S. ticker for a given quarter — the reverse 13F lookup.
- [13F Top Managers](https://docs.llmquantdata.com/en/api/filings/13f-top-managers.md): Enumerate any covered quarter's SEC Form 13F Top 1,000 manager set ranked by reportable value — each quarter has its own Top 1,000; quarter-over-quarter roster and rank diffs supported.
- [SEC Filing Browse](https://docs.llmquantdata.com/en/api/filings/browse.md): List SEC 10-K / 10-Q / 8-K filing metadata for a U.S. ticker — the discovery half of the progressive-disclosure pattern.
- [SEC Filing Read](https://docs.llmquantdata.com/en/api/filings/read.md): Extract the full text of a specific item from a SEC 10-K, 10-Q, or 8-K filing — the read half of the progressive-disclosure pattern.
- [Paper Search](https://docs.llmquantdata.com/en/api/knowledge/paper-search.md): Semantic search over the LLMQuant Quant Paper corpus — find research papers, then load specific sections on demand.
- [Wiki Search](https://docs.llmquantdata.com/en/api/knowledge/wiki-search.md): Semantic search over the LLMQuant Quant Wiki — find concepts, formulas, factors, and strategies for your agent.
- [Macro Historical Observations](https://docs.llmquantdata.com/en/api/macro/historical.md): Latest-vintage historical time series for a single U.S. macro indicator.
- [Macro Indicators Catalog](https://docs.llmquantdata.com/en/api/macro/indicators.md): Browse and search the supported U.S. macro indicators catalog (~50 series).
- [Macro Indicator Snapshot](https://docs.llmquantdata.com/en/api/macro/snapshot.md): Latest value + previous value + delta for a single U.S. macro indicator.
- [News Browse](https://docs.llmquantdata.com/en/api/news/browse.md): Browse continuously updated company news by ticker, event, topic, or date.
- [Personal Holdings](https://docs.llmquantdata.com/en/api/personal/holdings.md): Read the holdings you saved in Dashboard Profile for portfolio-aware agent answers.
- [Personal Profile](https://docs.llmquantdata.com/en/api/personal/profile.md): Read the financial profile you saved in Dashboard Profile for personalized agent context.
- [Prediction Markets Events](https://docs.llmquantdata.com/en/api/prediction-markets/events.md): Browse, search, and read finance-scoped Prediction Markets event cards for agent workflows.
- [Prediction Markets Market Details](https://docs.llmquantdata.com/en/api/prediction-markets/markets.md): Read Prediction Markets market cards and outcome ids before loading probability history.
- [Prediction Markets Price History](https://docs.llmquantdata.com/en/api/prediction-markets/price-history.md): Hourly or daily implied-probability history for one Prediction Markets outcome token.
- [Crypto Historical Klines](https://docs.llmquantdata.com/en/api/prices/crypto-historical.md): OHLCV K-line bars for crypto pairs — recent N or arbitrary time range, with 1h / 4h / 1d / 1w intervals.
- [Crypto Price Snapshot](https://docs.llmquantdata.com/en/api/prices/crypto-snapshot.md): Latest spot price + 24h stats for a crypto pair.
- [Equity Historical Prices](https://docs.llmquantdata.com/en/api/prices/equity-historical.md): Daily OHLCV bars for US equities — recent N or arbitrary date range, with adjusted close, dividends, and splits.
- [Equity Intraday Prices](https://docs.llmquantdata.com/en/api/prices/equity-intraday.md): 1h regular-session OHLCV bars for US equities — recent N bars or a short date range, US market hours only.
- [Authentication](https://docs.llmquantdata.com/en/authentication.md): One API key — used as an env var by your MCP client, or as an HTTP header for direct calls.
- [MCP Server](https://docs.llmquantdata.com/en/integration/mcp-server.md): The knowledge harness for AI-native finance — drop in once, every agent picks it up.
- [Introduction](https://docs.llmquantdata.com/en/introduction.md): AI-native financial data platform for developers and AI agents
- [Market Coverage](https://docs.llmquantdata.com/en/market-coverage.md): What markets, assets, and reference datasets are covered by LLMQuant Data.
- [ETF 持仓明细](https://docs.llmquantdata.com/zh-CN/api/etf/holdings.md): 查询单只美国上市 ETF 的最新或指定日期前可用持仓明细，字段已整理统一，并按权重从高到低排序。
- [ETF 基本信息](https://docs.llmquantdata.com/zh-CN/api/etf/lookup.md): 查询单只美国上市 ETF 的名称、发行方、SEC 注册信息、最新或指定日期前可用的持仓申报，以及前几大持仓和分布概览。
- [13F 按机构查持仓](https://docs.llmquantdata.com/zh-CN/api/filings/13f-by-manager.md): 列出某个机构投资人某季度的完整 SEC Form 13F 持仓 —— "这只基金在持什么？"的正向查询。
- [13F 按 Ticker 查持有人](https://docs.llmquantdata.com/zh-CN/api/filings/13f-by-ticker.md): 反向查询 Top 1000 中持有某只美股的机构列表 —— 13F 反向查询。
- [13F 头部机构枚举](https://docs.llmquantdata.com/zh-CN/api/filings/13f-top-managers.md): 按指定季度的 13F reportable value（AUM proxy）枚举该季 SEC Form 13F Top 1000 机构集合中的 Top N 机构投资人 —— 每个季度有各自的 Top 1000，支持跨季度名单与排名对比。
- [SEC 申报文件浏览](https://docs.llmquantdata.com/zh-CN/api/filings/browse.md): 按 ticker 列出 SEC 10-K / 10-Q / 8-K 申报文件元数据 —— progressive disclosure 模式的第一步。
- [SEC 申报文件章节读取](https://docs.llmquantdata.com/zh-CN/api/filings/read.md): 提取 SEC 10-K / 10-Q / 8-K 申报文件中具体 item 的全文 —— progressive disclosure 模式的第二步。
- [论文搜索](https://docs.llmquantdata.com/zh-CN/api/knowledge/paper-search.md): 在 LLMQuant Quant Paper 语料上做语义检索 —— 先定位论文，再按需加载具体章节。
- [Wiki 搜索](https://docs.llmquantdata.com/zh-CN/api/knowledge/wiki-search.md): 在 LLMQuant Quant Wiki 上做语义检索 —— 为你的 Agent 找出量化概念、公式、因子与策略。
- [宏观历史时间序列](https://docs.llmquantdata.com/zh-CN/api/macro/historical.md): 单个美国宏观指标的 latest-vintage 历史时间序列。
- [宏观指标目录](https://docs.llmquantdata.com/zh-CN/api/macro/indicators.md): 浏览或搜索支持的美国宏观指标目录（约 50 个）。
- [宏观指标快照](https://docs.llmquantdata.com/zh-CN/api/macro/snapshot.md): 单个美国宏观指标的最新值 + 前值 + 涨跌。
- [新闻浏览](https://docs.llmquantdata.com/zh-CN/api/news/browse.md): 按 ticker、事件、主题或日期浏览持续更新的公司新闻。
- [个人持仓](https://docs.llmquantdata.com/zh-CN/api/personal/holdings.md): 读取你在 Dashboard Profile 保存的持仓，让 Agent 带着你的组合上下文回答。
- [个人 Profile](https://docs.llmquantdata.com/zh-CN/api/personal/profile.md): 读取你在 Dashboard Profile 保存的财务背景，作为 Agent 的个性化上下文。
- [预测市场事件](https://docs.llmquantdata.com/zh-CN/api/prediction-markets/events.md): 为 Agent 浏览、语义搜索并读取金融范围内的预测市场事件卡片。
- [预测市场 Market 详情](https://docs.llmquantdata.com/zh-CN/api/prediction-markets/markets.md): 读取预测市场 market 卡片，并查询 outcome token 的小时或日度概率历史。
- [预测市场概率历史](https://docs.llmquantdata.com/zh-CN/api/prediction-markets/price-history.md): 查询单个预测市场 outcome token 的小时或日度隐含概率历史。
- [加密货币历史 K 线](https://docs.llmquantdata.com/zh-CN/api/prices/crypto-historical.md): 加密货币交易对的 OHLCV K 线 —— 支持最近 N 根 / 指定时间范围两种模式，含 1h / 4h / 1d / 1w 周期。
- [加密货币实时快照](https://docs.llmquantdata.com/zh-CN/api/prices/crypto-snapshot.md): 加密货币交易对的当前价格 + 24h 行情。
- [美股历史日线](https://docs.llmquantdata.com/zh-CN/api/prices/equity-historical.md): 美股历史 OHLCV 日线 —— 支持最近 N 根 / 指定日期范围两种模式，含 adjusted close、分红、拆股。
- [美股盘中行情](https://docs.llmquantdata.com/zh-CN/api/prices/equity-intraday.md): 美股 1h 盘中 OHLCV —— 支持最近 N 根 / 短日期范围两种模式，仅含常规交易时段。
- [认证](https://docs.llmquantdata.com/zh-CN/authentication.md): 一把 API Key —— 给 MCP 客户端做环境变量，或直接做 HTTP 请求头。
- [MCP Server](https://docs.llmquantdata.com/zh-CN/integration/mcp-server.md): AI-native 金融数据的 knowledge harness —— 一次配置，所有 agent 自动接入。
- [简介](https://docs.llmquantdata.com/zh-CN/introduction.md): 面向开发者和 AI Agent 的 AI 原生金融数据平台
- [市场覆盖](https://docs.llmquantdata.com/zh-CN/market-coverage.md): LLMQuant Data 当前覆盖的市场、资产、参考数据集一览。

## OpenAPI Specs

- [openapi](https://docs.llmquantdata.com/api-reference/openapi.json)

## Optional

- [Discord](https://discord.gg/6UgADKDgAQ)
- [GitHub](https://github.com/LLMQuant/data-mcp)