# SEC Fundamentals API

- Registry name: `com.multyplylabs/sec-fundamentals` · version 0.1.0
- Categories (automatic, keyword rules): Company & business data, Markets & trading, Finance & markets
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): experimental, prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.multyplylabs%2Fsec-fundamentals
- Server page: https://mcpstation.net/s/com.multyplylabs--sec-fundamentals.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://sec.multyplylabs.com/mcp`

## Tools (as reported by the server, not verified)

- `lookup\_company`: 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 oth
- `company\_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 quart
- `company\_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\_f
- `company\_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
- `industry\_aggregate`: 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
- `screen\_companies`: 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:
- `compare\_to\_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
- `list\_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.
- `market\_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
- `buffett\_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 \(15\)
- `buffett\_value`: 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 mar
- `standard\_score`: 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
- `insider\_activity`: 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 alo
- `institutional\_ownership`: 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 alongsid
- `short\_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 i
- `company\_signal`: 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 fact
- `top\_signals`: 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

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