MCP servercom.multyplylabs/sec-fundamentals
SEC EDGAR financials, benchmarks, screening & Buffett value scans for agents.
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SEC EDGAR financials, benchmarks, screening & Buffett value scans for agents. Pay x402 or API key.Overview
Score?
UNRATED 0.681
of what a free look can see, on 32 looks
Looks
36
last 5 hr ago
Tools
17
changed 18 days ago
More info
URL
sec.multyplylabs.com/mcp
streamable-http
Says it is
sec-fundamentals 0.1.0
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.681 · highest on record 0.8561
Toolsfrom sha256:088c307e1b…41b3cc · +1 −0 18 days ago
| Tool | Schema |
|---|---|
| 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 perce |
input · output |
| 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 ow |
input · output |
| 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 d |
input · output |
| 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 speci |
input · output |
| 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 |
input · output |
| 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), institutiona |
input · output |
| 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 |
input · output |
| 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 |
input · output |
| 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. Clu |
input · output |
| 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 |
input · output |
| 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 a |
input · output |
| lookup_company added 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 |
input · output |
| 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 b |
input · output |
| 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 discove |
input · output |
| 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- |
input · output |
| 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: |
input · output |
| 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 score |
input · output |
Verify it yourself
npx teppi-check https://sec.multyplylabs.com/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ27XRMMY6F9Z4H9M617WJ