Financial Statements API: FMP Data for DevelopersFinancial Statements API：面向开发者的 FMP 数据
A financial statements API gives developers structured access to income statements, balance sheets, and cash flow statements. FMP provides this financial statement data, while QVeris helps AI agents discover and route it into stock research workflows.
financial statements API 让开发者结构化获取利润表、资产负债表和现金流量表。FMP 提供这些财务报表数据，QVeris 帮助 AI Agent 发现并路由这些数据到股票研究工作流中。
What Is a Financial Statements API?
什么是 Financial Statements API？
A financial statements API gives applications access to standardized company financials such as revenue, net income, assets, liabilities, operating cash flow, and free cash flow. FMP's official documentation describes APIs for income statements, balance sheets, cash flow statements, as-reported statements, growth data, key metrics, and bulk financial statement data.
financial statements API 让应用访问标准化公司财务数据，例如营收、净利润、资产、负债、经营现金流和自由现金流。FMP 官方文档覆盖利润表、资产负债表、现金流量表、原始披露报表、增长数据、关键指标和批量财务报表数据。
Financial Statements API Data FMP Provides
FMP 提供的 Financial Statements API 数据
FMP's income statement API provides revenue, gross profit, expenses, net income, and profitability data for public companies.
FMP 利润表 API 提供上市公司的营收、毛利、费用、净利润和盈利能力数据。
Best for: profitability analysis适合：盈利能力分析The balance sheet API gives agents assets, liabilities, shareholder equity, debt, cash, and other financial health indicators.
资产负债表 API 为 Agent 提供资产、负债、股东权益、债务、现金和其他财务健康指标。
Best for: financial health适合：财务健康分析FMP cash flow data helps agents evaluate operating cash flow, investing activity, financing activity, and cash generation quality.
FMP 现金流数据帮助 Agent 评估经营现金流、投资活动、融资活动和现金创造质量。
Best for: cash quality适合：现金质量分析As-reported statements help compliance and research workflows inspect original financial data as filed by companies.
原始披露报表帮助合规和研究工作流检查公司披露的原始财务数据。
Best for: audit and compliance适合：审计与合规Why Financial Statements API Pages Can Win Search Traffic
为什么 Financial Statements API 页面适合抢曝光
Developers may search financial statements API before they know FMP. Ranking for the generic term can introduce FMP as a strong provider.
开发者可能在知道 FMP 之前先搜索 financial statements API。抢泛词可以把 FMP 作为强数据源介绍给他们。
Income statement API, balance sheet API, and cash flow statement API each carry clear developer intent.
income statement API、balance sheet API、cash flow statement API 都有明确开发者搜索意图。
Financial statements are core inputs for AI stock research agents, valuation workflows, earnings summaries, and risk reviews.
财务报表是 AI 股票研究 Agent、估值工作流、财报摘要和风险审查的核心输入。
FMP Financial Statements API vs QVeris Routing
FMP Financial Statements API 与 QVeris 路由
| Need需求 | Direct FMP API直接使用 FMP API | QVeris routingQVeris 路由 |
|---|---|---|
| Single dashboard单一仪表盘 | Good for fixed statement endpoints适合固定报表端点 | Useful when dashboards become agent workflows当仪表盘升级为 Agent 工作流时更有用 |
| AI stock research agentAI 股票研究 Agent | Requires manual endpoint selection and parsing需要手动选择端点和解析 | Discover, inspect, and call the right financial capability发现、检查并调用合适的金融能力 |
| Multi-source analysis多数据源分析 | Developer combines statements, news, prices, and filings开发者自己组合报表、新闻、价格和文件 | Agent routes among capabilities based on research intentAgent 根据研究意图在能力之间路由 |
How QVeris Uses FMP-Style Statement Data
QVeris 如何使用 FMP 类型的报表数据
An agent can search for income statements, balance sheets, cash flow statements, or as-reported filings.
Agent 可以搜索利润表、资产负债表、现金流量表或原始披露报表。
Inspect period, fiscal year, symbol format, statement type, output fields, latency, and provider notes before calling.
调用前检查周期、财年、ticker 格式、报表类型、输出字段、延迟和供应商说明。
Call statement data and combine it with earnings, news, prices, and filings to produce a structured research brief.
调用报表数据，并与财报、新闻、价格和文件组合，生成结构化研究简报。
Financial Statements API Use Cases
Financial Statements API 使用场景
The highest-value use cases include AI stock research agents, fundamentals analysis, valuation screens, earnings summary workflows, credit checks, and compliance review. FMP provides the structured company financials; QVeris helps agents decide which statement capability to call, inspect the schema, and combine results with other financial data.
高价值场景包括 AI 股票研究 Agent、基本面分析、估值筛选、财报摘要工作流、信用检查和合规审查。FMP 提供结构化公司财务数据，QVeris 帮助 Agent 决定调用哪类报表能力、检查 Schema，并把结果与其他金融数据组合。
What to Check Before Using the FMP financial statements 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 income statements, balance sheets, cash flow statements, fiscal periods, restatements, ratios, and company identifiers. These fields should be documented before the agent relies on them.
本页相关的关键字段包括利润表、资产负债表、现金流量表、财年期间、重述、财务比率和公司标识。Agent 依赖这些字段前，应先确认其定义和更新规则。
Common workflows include fundamental analysis, valuation screens, earnings review, and automated research memos. QVeris can help route the intent to the right capability instead of hard-coding one endpoint for every task.
常见工作流包括基本面分析、估值筛选、财报复核和自动化研究备忘录。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。