Stock Market API: FMP Data for DevelopersStock Market API：面向开发者的 FMP 数据
A stock market API helps developers access quotes, historical prices, market news, company profiles, and real-time market data. FMP provides these data endpoints, while QVeris helps AI agents discover and route them into research and monitoring workflows.
stock market API 帮助开发者访问报价、历史价格、市场新闻、公司资料和实时市场数据。FMP 提供这些数据端点，QVeris 帮助 AI Agent 发现并路由它们到研究和监控工作流。
What Is a Stock Market API?
什么是 Stock Market API？
A stock market API gives applications access to market data such as real-time quotes, stock prices, trading volume, historical prices, company profiles, stock news, market movers, and index data. FMP describes its platform as a stock market data API covering real-time stock prices, historical prices, market news, fundamentals, and company information.
stock market API 让应用访问市场数据，例如实时报价、股票价格、成交量、历史价格、公司资料、股票新闻、市场异动和指数数据。FMP 将其平台定位为覆盖实时股票价格、历史价格、市场新闻、基本面和公司信息的股票市场数据 API。
Stock Market API Data FMP Provides
FMP 提供的 Stock Market API 数据
FMP's Stock Quote API provides detailed real-time stock data for individual stocks, including price and market information.
FMP Stock Quote API 为单只股票提供详细实时股票数据，包括价格和市场信息。
Best for: current price data适合：当前价格数据Historical price endpoints provide open, high, low, close, volume, VWAP, and related metrics for trading and research workflows.
历史价格端点提供开盘价、最高价、最低价、收盘价、成交量、VWAP 等指标，适合交易和研究工作流。
Best for: charts and backtests适合：图表和回测FMP stock news helps professionals track market developments, company-specific news, and broader market trends.
FMP 股票新闻帮助专业用户跟踪市场动态、公司新闻和更广泛的市场趋势。
Best for: event monitoring适合：事件监控Company profile data includes market capitalization, stock price, industry, business description, and operational context.
公司资料数据包含市值、股价、行业、业务描述和运营背景。
Best for: research context适合：研究背景Why Stock Market API Pages Can Win More Exposure
为什么 Stock Market API 页面更容易拿曝光
Users often search stock market API, stock API, stock price API, and stock quote API before choosing a provider.
用户通常会先搜索 stock market API、stock API、stock price API、stock quote API，再选择供应商。
These searches usually come from developers building dashboards, widgets, screeners, research apps, and automated workflows.
这些搜索通常来自正在构建仪表盘、组件、筛选器、研究应用和自动化工作流的开发者。
Market data is a core input for AI stock research agents, market monitoring agents, and event-driven financial assistants.
市场数据是 AI 股票研究 Agent、市场监控 Agent 和事件驱动金融助手的核心输入。
FMP Stock Market API vs QVeris Routing
FMP Stock Market API 与 QVeris 路由
| Need需求 | Direct FMP API直接使用 FMP API | QVeris routingQVeris 路由 |
|---|---|---|
| Simple quote widget简单报价组件 | Good for fixed stock quote calls适合固定股票报价调用 | Useful when the widget becomes an agent workflow当组件升级为 Agent 工作流时更有用 |
| Market monitoring agent市场监控 Agent | Developer wires quotes, news, and movers manually开发者手动接入报价、新闻和异动 | Agent can discover and call the right market data capabilityAgent 可发现并调用合适的市场数据能力 |
| Research and trading workflow研究和交易工作流 | Requires manual orchestration across endpoints需要手动编排多个端点 | Route prices, profiles, news, and fundamentals through one layer通过一层路由价格、公司资料、新闻和基本面 |
How QVeris Uses FMP-Style Market Data
QVeris 如何使用 FMP 类型的市场数据
An agent can search for stock quotes, historical prices, market movers, stock news, or company profile data.
Agent 可以搜索股票报价、历史价格、市场异动、股票新闻或公司资料数据。
Inspect ticker format, returned fields, latency, source notes, market coverage, and cost before execution.
执行前检查 ticker 格式、返回字段、延迟、来源说明、市场覆盖和成本。
Call the right market data capability and combine results with news, filings, earnings, or portfolio data.
调用合适的市场数据能力，并与新闻、文件、财报或投资组合数据组合。
Stock Market API Use Cases
Stock Market API 使用场景
High-intent use cases include quote widgets, portfolio dashboards, AI stock research agents, real-time market monitoring, backtesting workflows, watchlist alerts, and market-moving news analysis. FMP provides the market data endpoints; QVeris helps agents decide which data capability to call and how to combine it with other financial context.
高意图场景包括报价组件、投资组合仪表盘、AI 股票研究 Agent、实时市场监控、回测工作流、自选股预警和市场异动新闻分析。FMP 提供市场数据端点，QVeris 帮助 Agent 决定调用哪种数据能力，以及如何与其他金融背景组合。
What to Check Before Using the FMP stock market API
使用
FMP is useful because it gives developers broad finance data access through a familiar API model. For AI agents, however, the question is not only whether the endpoint exists. The agent must know which fields are fresh, which identifiers are required, whether the response includes enough context, and when the output should be routed through another capability for validation.
FMP 的优势在于用熟悉的 API 方式提供广泛金融数据。对 AI Agent 来说，问题不只是端点是否存在。Agent 还需要知道哪些字段是最新的、需要哪些标识符、响应是否包含足够上下文，以及什么时候应该路由到另一个能力进行验证。
For this page, useful fields include quotes, movers, indexes, sectors, company profiles, financial statements, earnings data, and market calendars. These fields should be documented before the agent relies on them.
本页相关的关键字段包括行情、异动榜、指数、板块、公司资料、财务报表、财报数据和市场日历。Agent 依赖这些字段前，应先确认其定义和更新规则。
Common workflows include multi-step market research, portfolio monitoring, sector rotation checks, and agent-ready dashboards. QVeris can help route the intent to the right capability instead of hard-coding one endpoint for every task.
常见工作流包括多步骤市场研究、组合监控、板块轮动检查和 Agent 就绪看板。QVeris 可以帮助把意图路由到合适能力，而不是为每个任务硬编码一个端点。
FMP API Implementation Notes for AI Agents
AI Agent 使用 FMP API 的实现注意事项
| Implementation area实现环节 | Recommended check建议检查 |
|---|---|
| Identifier handling标识符处理 | Confirm ticker, exchange, CIK, and company identifiers before calling downstream tools.调用下游工具前确认 ticker、交易所、CIK 和公司标识。 |
| Freshness数据新鲜度 | Expose timestamps and reporting periods so the model does not mix old and current data.暴露时间戳和报告期，避免模型混用旧数据和当前数据。 |
| FallbackFallback | Define whether the agent should retry, use another source, or ask the user when data is missing.当数据缺失时，定义 Agent 是重试、换来源还是询问用户。 |
Related QVeris Workflows
相关 QVeris 工作流
Use FMP as a strong finance data source, then connect it to QVeris when the agent needs discovery, inspection, routing, or multi-provider fallback. This lets the page stay useful for FMP searchers while naturally explaining why QVeris belongs in the agent layer.
可以把 FMP 作为重要金融数据源使用；当 Agent 需要发现、检查、路由或多供应商 fallback 时，再接入 QVeris。这样页面既能服务 FMP 搜索用户，也能自然说明 QVeris 在 Agent 层的价值。
Stock Market API Means More Than Quotes
Stock Market API 不只是行情
A stock market API page should cover the full market surface: indexes, sectors, movers, calendars, company profiles, technical indicators, and corporate actions. For AI agents, this broader context helps explain why a stock moved, not only what the last price was.
Stock Market API 页面应该覆盖更完整的市场面：指数、板块、异动榜、日历、公司资料、技术指标和公司行动。对 AI Agent 来说，这些背景有助于解释股票为什么波动，而不只是给出最新价格。