SEC Fundamentals API

com.multyplylabs由 multyplylabs.com 发布官方发布者v0.1.0更新于 Oct 24, 2026

SEC EDGAR financials, benchmarks, screening & Buffett value scans for agents. Pay x402 or API key.

已验证Streamable HTTP可网页运行网页搜索与抓取金融数据与分析

概览

AI 生成的概览

远程 MCP 服务器,让助手获取美国上市公司的 SEC EDGAR 财务数据、申报文件、同业基准、筛选结果与因子评分。

可以做什么
  • 按股票代码、CIK 或名称查找公司,并获取年度财务报表、原始 XBRL 数据及带 sec.gov 链接的申报文件索引。
  • 按财务条件筛选美国上市公司,并将单个公司与所属行业群体对比。
  • 按行业与营收规模分档提供指标基准,并运行全市场精选分析,如排名、变动榜与行业格局。
  • 提供巴菲特式质量与价值扫描、学术基本面评分、内部人交易、机构持股与做空成交量压力等评分。
  • 按综合因子得分对公司排名,或返回单个公司的因子评分卡。
适用场景
当助手需要回答美国上市公司基本面、申报文件、同业对比或价值与质量筛选类问题,且希望调用托管 API 而非自行解析 EDGAR 时适用。
运行要求
远程 streamable HTTP 端点,无需本地安装包。付费工具需通过邮件申请 X-API-Key 请求头,或按次使用 Base 链上的 USDC x402 支付。无密钥时仅可使用免费的 list_insights 工具。
安装前请注意
付费工具按次收费,可通过 X-API-Key 预付费或 x402 USDC 支付,使用会产生费用。API 密钥为敏感信息,以请求头发送。输出为研究与筛选信号,并非投资建议;部分数据存在滞后(13F 最多滞后 45 天,做空数据为每日成交量而非空头持仓)。

安装

在 SourceWeft 中

  1. 打开 控制台中的 SEC Fundamentals API,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.multyplylabs%2Fsec-fundamentals/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "sec-fundamentals-api": {
      "type": "http",
      "url": "https://sec.multyplylabs.com/mcp"
    }
  }
}

工具

17

lookup_company

Look Up Company CIK

Find a company's SEC CIK from its ticker, CIK or name. Every company tool takes a cik, so call this first when you only have a ticker (AAPL) or a name (apple). Returns up to limit matches, best first (exact ticker, exact CIK, name prefix, name contains; within each, companies with tickers before other filers such as individuals), each with cik, name, tickers, sic and sic_description; no match is an empty list, not an error. Free: no API key or payment needed.

输入参数limitquery必填

company_financials

Company Annual Financials

Annual financial statements for one company, one row per fiscal year: income statement, balance sheet and cash flow lines plus ratios (gross_margin, operating_margin, roe, roa, fcf, debt_to_equity, ...). Use it for a known company's history; use company_facts for individual reported values and quarterly periods, compare_to_peers to benchmark it against its industry, and screen_companies to find companies by criteria. Cost: $0.02 per call; unpaid calls return a payment-required error.

输入参数cik必填fy_tofy_from

company_facts

Company XBRL Facts

Raw normalized XBRL facts for one company as reported in its SEC filings, newest first: concept, value, unit, period_start and period_end, fiscal_year, fiscal_period, form, filed date and data-quality flags. Use it for individual reported values, quarterly figures or filing provenance; use company_financials for clean annual statements and ratios. Cost: $0.01 per call; unpaid calls return a payment-required error.

输入参数cik必填limitconceptfy_from

company_filings

Company SEC Filings

SEC filing index for one company, newest first: form, filing date, report period, accession number, 8-K item codes and a direct sec.gov document_url. Use it to find or cite a specific 10-K, 10-Q, 8-K or Form 4; use company_facts or company_financials for the numbers in the filings. Cost: $0.005 per call; unpaid calls return a payment-required error.

输入参数cik必填formlimit

industry_aggregate

Industry Benchmark Percentiles

Benchmark percentiles (p10, p25, median, p75, p90, plus mean and company count n) for one financial metric, per fiscal year, 2-digit SIC industry group and revenue size bucket. Use it for questions like "what is the median gross margin of large software companies?"; use compare_to_peers to place one company in its cohort and market_insight (sector_landscape) for margin medians across every industry. Cost: $0.05 per call; unpaid calls return a payment-required error.

输入参数fysizemetric必填industry

screen_companies

Screen Companies by Financials

Screen US public companies for one fiscal year by financial criteria and return the matches with their name, tickers, industry and metrics, largest revenue first. Use it to discover companies; use company_financials for one known company's history and industry_aggregate for cohort benchmarks. Cost: $0.10 per call; unpaid calls return a payment-required error.

输入参数fy必填limitfilters必填

compare_to_peers

Compare Company to Industry Peers

One company's metrics for a fiscal year next to its industry cohort: the percentiles of every metric for each revenue size bucket in its 2-digit SIC group. Use it to judge whether a company's margins, returns or leverage are above or below sector norms; use industry_aggregate for a cohort without a specific company. Cost: $0.05 per call; unpaid calls return a payment-required error.

输入参数fy必填cik必填

list_insights

List Curated Insights

Catalog of the curated market-wide analyses: each one's name, path, description, parameters with defaults, and price. Call it before market_insight or standard_score to choose an analysis and its parameters. Free: no API key or payment needed.

无需输入参数。

market_insight

Market-Wide Insight

Curated analysis computed live across all US public companies, chosen by name: top_companies (rank by a metric, optionally within an industry), movers (largest change in a metric between fy_from and fy_to), sector_landscape (margin medians per industry), metric_trend (yearly sum, median or mean of a metric), capital_returns (buybacks vs dividends by size bucket) or filing_velocity (monthly filing counts for a form type). Each parameter's description says which analyses read it; the response reports the fiscal year(s) used. Use screen_companies for your own criteria and standard_score for F-Score, Z-Score and similar scores. Cost: $0.15 per call; unpaid calls return a payment-required error.

输入参数fyaggformname必填fy_tolimitmetricmonthsfy_fromindustrymin_revenue

buffett_scan

Buffett Quality Scan

Rank US public companies by Quality Score (0-100) over a 10-year window from five components: return on invested capital (30 points, blended 60/40 with the company's industry percentile), durability through the cycle (20), cash conversion (20), balance-sheet strength (15) and capital discipline (15). Every component is explainable from the returned row (roic_median, fcf_conversion, net_debt_to_ebit, ...); a component with no usable data is dropped and the rest renormalized. Companies that stopped filing (4,313), have fewer than five fiscal years on file (1,702), lack the tags to measure returns on capital in enough of those years -- missing EBIT tags, or an unclassified balance sheet, common among homebuilders and industrials with captive finance arms (1,612) -- or are balance-sheet financials (banks, insurers, REITs; 1,539) are not scored and do not appear: 2,885 of 12,051 companies (roughly a quarter of all filers, ~37% of active ones) are scored today. Use it for price-independent quality; use buffett_value to add valuation. Methodology v3; heuristic screen, not investment advice. Cost: $0.25 per call; unpaid calls return a payment-required error.

输入参数fylimitindustrymin_scoremin_revenueexclude_foreign

buffett_value

Buffett Value Scan

Find high-quality US public companies trading below intrinsic value: the Quality Score (see buffett_scan) combined with a value score from the previous close (FCF yield, 10-year owner-earnings DCF margin of safety, P/E), ranked by combined_score, the mean of the two (0-100 each). Rows also carry market cap, owner-earnings yield and intrinsic value. Use buffett_scan for quality alone; it needs no price data. Foreign private issuers (20-F filers, e.g. Chinese ADRs) are excluded by default: they screen cheap for structural reasons fundamentals cannot see. Methodology v3; heuristic screen, not investment advice. Cost: $0.25 per call; unpaid calls return a payment-required error.

输入参数fylimitindustrymin_scoremin_revenueexclude_foreignmin_margin_of_safety

standard_score

Standard Fundamental Scores

Academic fundamental scores across US public companies, chosen by name: piotroski (F-Score 0-9, financial strength), altman_z (bankruptcy-risk zones), beneish_m (elevated M-Score: an accounting-quality screen, not evidence of manipulation), magic_formula (Greenblatt rank on earnings yield and return on capital) or accruals (Sloan earnings quality). Each company is scored on its own latest fiscal year (fiscal_year per row); fy selects the cohort whose latest scored year is fy -- it does not re-score companies on an earlier year. Use company_signal for one company's quality, value and sentiment factors together. Peer-reviewed formulas; not investment advice. Cost: $0.15 per call; unpaid calls return a payment-required error.

输入参数fyname必填zonelimitworstmin_scoremin_revenueflagged_onlyexclude_foreign

insider_activity

Company Insider Trades (Form 4)

Insider (Form 4) transactions for one company over the trailing months, plus a summary: open-market buys vs sales, distinct buyers and net dollar value, with 10b5-1 plan flags. Cluster buying by officers and directors is a studied positive signal. Use company_signal for insider conviction scored alongside other factors. Not investment advice. Cost: $0.02 per call; unpaid calls return a payment-required error.

输入参数cik必填months

institutional_ownership

Company Institutional Ownership (13F)

13F institutional ownership snapshot for one company: number of holders, aggregate shares and value, and quarter-over-quarter change (accumulating vs trimming). 13F filings lag the quarter by up to 45 days and show long positions only. Use company_signal for institutional positioning scored alongside other factors. Not investment advice. Cost: $0.02 per call; unpaid calls return a payment-required error.

输入参数cik必填

short_pressure

Company Short-Selling Pressure

Short-selling pressure for one company: the FINRA daily short-volume ratio (short volume / total volume) over about 20 trading days, a bearish-sentiment proxy. This is daily short-sale volume, not bi-monthly short interest. Use company_signal for short sentiment scored alongside other factors. Not investment advice. Cost: $0.02 per call; unpaid calls return a payment-required error.

输入参数cik必填

company_signal

Company Factor Scorecard

Composite factor scorecard for one company: quality (Piotroski, Altman, accruals), value (owner-earnings DCF), insider conviction (Form 4 buying as bps of market cap), institutional positioning (13F) and short sentiment, each 0-100, plus a renormalized composite_score and coverage (the share of factors present). Also returns institutional ownership %, insider buy intensity, short-to-ADV and governance flags (Form 4 latency, Item 4.02 restatements, stale fundamentals). Use top_signals to rank every company by the same composite. RESEARCH SIGNAL, NOT INVESTMENT ADVICE. Cost: $0.05 per call; unpaid calls return a payment-required error.

输入参数cik必填weights

top_signals

Top Companies by Factor Score

Rank US public companies by composite factor score (quality, value, insider, institutional and short-sentiment factors, each 0-100), highest first, with each company's factor scores, coverage, and restatement and stale-fundamentals flags. Use company_signal for one company's full scorecard. RESEARCH SIGNAL, NOT INVESTMENT ADVICE. Cost: $0.25 per call; unpaid calls return a payment-required error.

输入参数limitweightsmin_coveragemin_composite

版本历史

1
  1. v0.1.0最新Sep 16, 2026

评分

已满足适用检查项的 72%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分

    请在注册中心条目中发布图标。

  • 文档15 分

    请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。