com.multyplylabs/sec-fundamentals · v0.1.0 · finance-and-payments
SEC Fundamentals API is healthy: it completed an MCP handshake in 1416 ms and exposes 17 tools.
SEC EDGAR financials, benchmarks, screening & Buffett value scans for agents. Pay x402 or API key.
Endpoint: https://sec.multyplylabs.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 17 |
| Latency | 1416 ms |
| Last checked (UTC) | 2026-10-15T22:40:13.452Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T22:40:13.452Z | Healthy | 1416 | |
| 2026-10-14T20:45:39.260Z | Healthy | 2635 |
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 |