Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,542Letters: 14Defects: 1,324counted just now
teppi

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Hash
sha256:088c307e1bd822064aa1aa1360cdb8eead40d662a6c235859aff2031eb41b3cc
What it is
What a remote MCP server returned when asked what it offers: 17 tools

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{ "instructions": "SEC Fundamentals API — normalized SEC EDGAR financial data on 20,000+ US public companies, refreshed nightly. Paid per call: company lookups $0.005-$0.05; aggregates/screens $0.05-$0.10; curated insights, standard scores and signal screens $0.15; Buffett quality/value scans and top_signals $0.25. Pass your API key as the X-API-Key header on this MCP connection, or use the self-paying stdio server (https://sec.multyplylabs.com/mcp-server.py) to pay in USDC via x402. Company tools take an SEC CIK: when you only have a ticker or company name, call lookup_company first (free), e.g. AAPL -> 320193. To discover companies by criteria rather than by name, call screen_companies or market_insight with top_companies.", "tools": [ { "description": "Rank US public companies by Quality Score (0-100) over a 10-year\nwindow from five components: return on invested capital (30 points,\nblended 60/40 with the company's industry percentile), durability\nthrough the cycle (20), cash conversion (20), balance-sheet strength (15)\nand capital discipline (15). Every component is explainable from the\nreturned row (roic_median, fcf_conversion, net_debt_to_ebit, ...); a\ncomponent with no usable data is dropped and the rest renormalized.\nCompanies that stopped filing (4,313), have fewer than five fiscal years\non file (1,702), lack the tags to measure returns on capital in enough of\nthose years -- missing EBIT tags, or an unclassified balance sheet,\ncommon among homebuilders and industrials with captive finance arms\n(1,612) -- or are balance-sheet financials (banks, insurers, REITs;\n1,539) are not scored and do not appear: 2,885 of 12,051 companies\n(roughly a quarter of all filers, ~37% of active ones) are scored today.\nUse it for price-independent quality; use buffett_value to add\nvaluation. Methodology v3; heuristic screen, not investment advice.\nCost: $0.25 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "exclude_foreign": { "default": true, "description": "Exclude foreign private issuers (20-F filers); set false to include them.", "title": "Exclude Foreign", "type": "boolean" }, "fy": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Fiscal year of the published Quality Scores; omit for the latest. A year that isn't published returns an error listing the published years.", "title": "Fy" }, "industry": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "2-digit SIC industry group, e.g. 73 (business services, including software); omit for every industry.", "title": "Industry" }, "limit": { "default": 25, "description": "Maximum companies to return, 1-200.", "title": "Limit", "type": "integer" }, "min_revenue": { "default": 1000000000, "description": "Minimum annual revenue in USD, e.g. 1e9.", "title": "Min Revenue", "type": "number" }, "min_score": { "default": 60, "description": "Minimum Quality Score, 0-100.", "title": "Min Score", "type": "integer" } }, "title": "buffett_scanArguments", "type": "object" }, "name": "buffett_scan", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "buffett_scanOutput", "type": "object" } }, { "description": "Find high-quality US public companies trading below intrinsic value:\nthe Quality Score (see buffett_scan) combined with a value score from the\nprevious close (FCF yield, 10-year owner-earnings DCF margin of safety,\nP/E), ranked by combined_score, the mean of the two (0-100 each). Rows\nalso carry market cap, owner-earnings yield and intrinsic value. Use\nbuffett_scan for quality alone; it needs no price data. Foreign private\nissuers (20-F filers, e.g. Chinese ADRs) are excluded by default: they\nscreen cheap for structural reasons fundamentals cannot see. Methodology\nv3; heuristic screen, not investment advice.\nCost: $0.25 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "exclude_foreign": { "default": true, "description": "Exclude foreign private issuers (20-F filers); set false to include them.", "title": "Exclude Foreign", "type": "boolean" }, "fy": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Fiscal year of the published Quality Scores; omit for the latest. A year that isn't published returns an error listing the published years.", "title": "Fy" }, "industry": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "2-digit SIC industry group, e.g. 73 (business services, including software); omit for every industry.", "title": "Industry" }, "limit": { "default": 25, "description": "Maximum companies to return, 1-200.", "title": "Limit", "type": "integer" }, "min_margin_of_safety": { "default": 0, "description": "Minimum DCF margin of safety (1 - market cap / intrinsic value), e.g. 0.2 for a price 20% below intrinsic value; 0 keeps companies at or below intrinsic value.", "title": "Min Margin Of Safety", "type": "number" }, "min_revenue": { "default": 1000000000, "description": "Minimum annual revenue in USD, e.g. 1e9.", "title": "Min Revenue", "type": "number" }, "min_score": { "default": 50, "description": "Minimum combined_score (the mean of the quality and value scores), 0-100.", "title": "Min Score", "type": "integer" } }, "title": "buffett_valueArguments", "type": "object" }, "name": "buffett_value", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "buffett_valueOutput", "type": "object" } }, { "description": "Raw normalized XBRL facts for one company as reported in its SEC\nfilings, newest first: concept, value, unit, period_start and period_end,\nfiscal_year, fiscal_period, form, filed date and data-quality flags. Use\nit for individual reported values, quarterly figures or filing\nprovenance; use company_financials for clean annual statements and\nratios. Cost: $0.01 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "cik": { "description": "SEC Central Index Key (CIK), e.g. 320193 for Apple. Only have a ticker or company name? Call lookup_company first (free).", "title": "Cik", "type": "integer" }, "concept": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Canonical concept to return, e.g. revenue, net_income, total_assets, operating_cash_flow; omit for every concept.", "title": "Concept" }, "fy_from": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Earliest fiscal year to include, by each filing's own fiscal-year tag (fiscal_year in the rows); omit for every year.", "title": "Fy From" }, "limit": { "default": 500, "description": "Maximum facts to return, newest first; up to 20000.", "title": "Limit", "type": "integer" } }, "required": [ "cik" ], "title": "company_factsArguments", "type": "object" }, "name": "company_facts", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "company_factsOutput", "type": "object" } }, { "description": "SEC filing index for one company, newest first: form, filing date,\nreport period, accession number, 8-K item codes and a direct sec.gov\ndocument_url. Use it to find or cite a specific 10-K, 10-Q, 8-K or Form 4;\nuse company_facts or company_financials for the numbers in the filings.\nCost: $0.005 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "cik": { "description": "SEC Central Index Key (CIK), e.g. 320193 for Apple. Only have a ticker or company name? Call lookup_company first (free).", "title": "Cik", "type": "integer" }, "form": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Form type to return, as SEC names it, e.g. 10-K, 10-Q, 8-K, 4; omit for every form.", "title": "Form" }, "limit": { "default": 50, "description": "Maximum filings to return, newest first; up to 2000.", "title": "Limit", "type": "integer" } }, "required": [ "cik" ], "title": "company_filingsArguments", "type": "object" }, "name": "company_filings", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "company_filingsOutput", "type": "object" } }, { "description": "Annual financial statements for one company, one row per fiscal year:\nincome statement, balance sheet and cash flow lines plus ratios\n(gross_margin, operating_margin, roe, roa, fcf, debt_to_equity, ...).\nUse it for a known company's history; use company_facts for individual\nreported values and quarterly periods, compare_to_peers to benchmark it\nagainst its industry, and screen_companies to find companies by criteria.\nCost: $0.02 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "cik": { "description": "SEC Central Index Key (CIK), e.g. 320193 for Apple. Only have a ticker or company name? Call lookup_company first (free).", "title": "Cik", "type": "integer" }, "fy_from": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "First fiscal year to include, e.g. 2020; omit to start at the earliest year on file.", "title": "Fy From" }, "fy_to": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Last fiscal year to include; omit to end at the latest year on file.", "title": "Fy To" } }, "required": [ "cik" ], "title": "company_financialsArguments", "type": "object" }, "name": "company_financials", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "company_financialsOutput", "type": "object" } }, { "description": "Composite factor scorecard for one company: quality (Piotroski,\nAltman, accruals), value (owner-earnings DCF), insider conviction (Form 4\nbuying as bps of market cap), institutional positioning (13F) and short\nsentiment, each 0-100, plus a renormalized composite_score and coverage\n(the share of factors present). Also returns institutional ownership %,\ninsider buy intensity, short-to-ADV and governance flags (Form 4 latency,\nItem 4.02 restatements, stale fundamentals). Use top_signals to rank\nevery company by the same composite. RESEARCH SIGNAL, NOT INVESTMENT\nADVICE. Cost: $0.05 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "cik": { "description": "SEC Central Index Key (CIK), e.g. 320193 for Apple. Only have a ticker or company name? Call lookup_company first (free).", "title": "Cik", "type": "integer" }, "weights": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Optional JSON object of factor weights, e.g. {\"quality\":0.4,\"value\":0.4}. Factors: quality, value, insider, institutional and sentiment; each defaults to 0.2, and unknown keys or negative weights are ignored.", "title": "Weights" } }, "required": [ "cik" ], "title": "company_signalArguments", "type": "object" }, "name": "company_signal", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "company_signalOutput", "type": "object" } }, { "description": "One company's metrics for a fiscal year next to its industry cohort:\nthe percentiles of every metric for each revenue size bucket in its\n2-digit SIC group. Use it to judge whether a company's margins, returns\nor leverage are above or below sector norms; use industry_aggregate for\na cohort without a specific company.\nCost: $0.05 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "cik": { "description": "SEC Central Index Key (CIK), e.g. 320193 for Apple. Only have a ticker or company name? Call lookup_company first (free).", "title": "Cik", "type": "integer" }, "fy": { "description": "Fiscal year to compare, e.g. 2025.", "title": "Fy", "type": "integer" } }, "required": [ "cik", "fy" ], "title": "compare_to_peersArguments", "type": "object" }, "name": "compare_to_peers", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "compare_to_peersOutput", "type": "object" } }, { "description": "Benchmark percentiles (p10, p25, median, p75, p90, plus mean and\ncompany count n) for one financial metric, per fiscal year, 2-digit SIC\nindustry group and revenue size bucket. Use it for questions like \"what\nis the median gross margin of large software companies?\"; use\ncompare_to_peers to place one company in its cohort and market_insight\n(sector_landscape) for margin medians across every industry.\nCost: $0.05 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "fy": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Fiscal year; omit for every year, newest first.", "title": "Fy" }, "industry": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "2-digit SIC industry group, e.g. 73 (business services, including software); omit for every industry.", "title": "Industry" }, "metric": { "description": "Metric to benchmark, e.g. gross_margin, operating_margin, net_margin, roe, roa, debt_to_equity, current_ratio, rd_intensity, revenue, fcf.", "title": "Metric", "type": "string" }, "size": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Revenue size bucket: micro (under 10M USD), small (10M+), mid (100M+), large (1B+) or mega (10B+); omit for every bucket.", "title": "Size" } }, "required": [ "metric" ], "title": "industry_aggregateArguments", "type": "object" }, "name": "industry_aggregate", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "industry_aggregateOutput", "type": "object" } }, { "description": "Insider (Form 4) transactions for one company over the trailing\nmonths, plus a summary: open-market buys vs sales, distinct buyers and\nnet dollar value, with 10b5-1 plan flags. Cluster buying by officers and\ndirectors is a studied positive signal. Use company_signal for insider\nconviction scored alongside other factors. Not investment advice.\nCost: $0.02 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "cik": { "description": "SEC Central Index Key (CIK), e.g. 320193 for Apple. Only have a ticker or company name? Call lookup_company first (free).", "title": "Cik", "type": "integer" }, "months": { "default": 12, "description": "Trailing window in months, 1-60.", "title": "Months", "type": "integer" } }, "required": [ "cik" ], "title": "insider_activityArguments", "type": "object" }, "name": "insider_activity", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "insider_activityOutput", "type": "object" } }, { "description": "13F institutional ownership snapshot for one company: number of\nholders, aggregate shares and value, and quarter-over-quarter change\n(accumulating vs trimming). 13F filings lag the quarter by up to 45 days\nand show long positions only. Use company_signal for institutional\npositioning scored alongside other factors. Not investment advice.\nCost: $0.02 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "cik": { "description": "SEC Central Index Key (CIK), e.g. 320193 for Apple. Only have a ticker or company name? Call lookup_company first (free).", "title": "Cik", "type": "integer" } }, "required": [ "cik" ], "title": "institutional_ownershipArguments", "type": "object" }, "name": "institutional_ownership", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "institutional_ownershipOutput", "type": "object" } }, { "description": "Catalog of the curated market-wide analyses: each one's name, path,\ndescription, parameters with defaults, and price. Call it before\nmarket_insight or standard_score to choose an analysis and its\nparameters. Free: no API key or payment needed.", "inputSchema": { "properties": {}, "title": "list_insightsArguments", "type": "object" }, "name": "list_insights", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "list_insightsOutput", "type": "object" } }, { "description": "Find a company's SEC CIK from its ticker, CIK or name. Every company\ntool takes a cik, so call this first when you only have a ticker (AAPL)\nor a name (apple). Returns up to limit matches, best first (exact ticker,\nexact CIK, name prefix, name contains; within each, companies with\ntickers before other filers such as individuals), each with cik, name,\ntickers, sic and sic_description; no match is an empty list, not an\nerror. Free: no API key or payment needed.", "inputSchema": { "properties": { "limit": { "default": 10, "description": "Maximum matches to return, 1-25.", "title": "Limit", "type": "integer" }, "query": { "description": "A ticker (AAPL, BRK.B), CIK digits (320193), or all or part of a company name (apple); 1-100 characters.", "title": "Query", "type": "string" } }, "required": [ "query" ], "title": "lookup_companyArguments", "type": "object" }, "name": "lookup_company", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "lookup_companyOutput", "type": "object" } }, { "description": "Curated analysis computed live across all US public companies, chosen\nby name: top_companies (rank by a metric, optionally within an\nindustry), movers (largest change in a metric between fy_from and fy_to),\nsector_landscape (margin medians per industry), metric_trend (yearly sum,\nmedian or mean of a metric), capital_returns (buybacks vs dividends by\nsize bucket) or filing_velocity (monthly filing counts for a form type).\nEach parameter's description says which analyses read it; the response\nreports the fiscal year(s) used. Use screen_companies for your own\ncriteria and standard_score for F-Score, Z-Score and similar scores.\nCost: $0.15 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "agg": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "metric_trend only: sum (the default), median or mean.", "title": "Agg" }, "form": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "filing_velocity only: form type to count, e.g. 8-K (the default).", "title": "Form" }, "fy": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Fiscal year for top_companies, sector_landscape and capital_returns, and the default end year for movers and metric_trend; omit for the current fiscal year.", "title": "Fy" }, "fy_from": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Start year for movers (default fy - 2) and metric_trend (default 2015).", "title": "Fy From" }, "fy_to": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "End year for movers and metric_trend (default fy).", "title": "Fy To" }, "industry": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "top_companies only: 2-digit SIC industry group, e.g. 73; omit for every industry.", "title": "Industry" }, "limit": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Maximum rows for top_companies and movers, 1-200 (default 25).", "title": "Limit" }, "metric": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Metric for top_companies, movers and metric_trend, e.g. revenue (the default), gross_margin, research_development.", "title": "Metric" }, "min_revenue": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "description": "Minimum annual revenue in USD for movers (default 1e9) and sector_landscape (default 1e8).", "title": "Min Revenue" }, "months": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "filing_velocity only: months of history, default 18, up to 120.", "title": "Months" }, "name": { "description": "Analysis to run: top_companies, movers, sector_landscape, metric_trend, capital_returns or filing_velocity.", "title": "Name", "type": "string" } }, "required": [ "name" ], "title": "market_insightArguments", "type": "object" }, "name": "market_insight", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "market_insightOutput", "type": "object" } }, { "description": "Screen US public companies for one fiscal year by financial criteria\nand return the matches with their name, tickers, industry and metrics,\nlargest revenue first. Use it to discover companies; use\ncompany_financials for one known company's history and\nindustry_aggregate for cohort benchmarks.\nCost: $0.10 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "filters": { "description": "JSON list of [metric, op, value] triples that must all hold, e.g. [[\"gross_margin\",\">\",0.6],[\"revenue\",\">\",1e9]]. op is >, >=, <, <= or =; value is a number; up to 8 triples (more are ignored). An unknown metric returns an error listing the valid ones.", "title": "Filters", "type": "string" }, "fy": { "description": "Fiscal year to screen, e.g. 2025.", "title": "Fy", "type": "integer" }, "limit": { "default": 50, "description": "Maximum companies to return, largest revenue first; up to 500.", "title": "Limit", "type": "integer" } }, "required": [ "fy", "filters" ], "title": "screen_companiesArguments", "type": "object" }, "name": "screen_companies", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "screen_companiesOutput", "type": "object" } }, { "description": "Short-selling pressure for one company: the FINRA daily short-volume\nratio (short volume / total volume) over about 20 trading days, a\nbearish-sentiment proxy. This is daily short-sale volume, not bi-monthly\nshort interest. Use company_signal for short sentiment scored alongside\nother factors. Not investment advice.\nCost: $0.02 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "cik": { "description": "SEC Central Index Key (CIK), e.g. 320193 for Apple. Only have a ticker or company name? Call lookup_company first (free).", "title": "Cik", "type": "integer" } }, "required": [ "cik" ], "title": "short_pressureArguments", "type": "object" }, "name": "short_pressure", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "short_pressureOutput", "type": "object" } }, { "description": "Academic fundamental scores across US public companies, chosen by\nname: piotroski (F-Score 0-9, financial strength), altman_z\n(bankruptcy-risk zones), beneish_m (elevated M-Score: an\naccounting-quality screen, not evidence of manipulation), magic_formula\n(Greenblatt rank on earnings yield and return on capital) or accruals\n(Sloan earnings quality). Each company is scored on its own latest fiscal\nyear (fiscal_year per row); fy selects the cohort whose latest scored\nyear is fy -- it does not re-score companies on an earlier year. Use\ncompany_signal for one company's quality, value and sentiment factors\ntogether. Peer-reviewed formulas; not investment advice.\nCost: $0.15 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "exclude_foreign": { "default": true, "description": "Exclude foreign private issuers (20-F filers); set false to include them.", "title": "Exclude Foreign", "type": "boolean" }, "flagged_only": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": null, "description": "beneish_m only: omit or true for elevated M-Scores only; false for every score.", "title": "Flagged Only" }, "fy": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Cohort to return: companies whose latest scored fiscal year is fy (they are not re-scored on an earlier year). Omit for every company on its own latest year. A year no company is scored on returns an error listing the available years.", "title": "Fy" }, "limit": { "default": 25, "description": "Maximum companies to return, 1-200.", "title": "Limit", "type": "integer" }, "min_revenue": { "default": 1000000000, "description": "Minimum annual revenue in USD, e.g. 1e9.", "title": "Min Revenue", "type": "number" }, "min_score": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "piotroski only: minimum F-Score, 0-9; omit for 7.", "title": "Min Score" }, "name": { "description": "Score to rank by: piotroski, altman_z, beneish_m, magic_formula or accruals.", "title": "Name", "type": "string" }, "worst": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": null, "description": "accruals only: true ranks the highest accrual ratios (lowest earnings quality) first; omit or false ranks the lowest first.", "title": "Worst" }, "zone": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "altman_z only: safe, grey or distress; omit for every zone, most distressed first.", "title": "Zone" } }, "required": [ "name" ], "title": "standard_scoreArguments", "type": "object" }, "name": "standard_score", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "standard_scoreOutput", "type": "object" } }, { "description": "Rank US public companies by composite factor score (quality, value,\ninsider, institutional and short-sentiment factors, each 0-100), highest\nfirst, with each company's factor scores, coverage, and restatement and\nstale-fundamentals flags. Use company_signal for one company's full\nscorecard. RESEARCH SIGNAL, NOT INVESTMENT ADVICE.\nCost: $0.25 per call; unpaid calls return a payment-required error.", "inputSchema": { "properties": { "limit": { "default": 25, "description": "Maximum companies to return, 1-200.", "title": "Limit", "type": "integer" }, "min_composite": { "default": 0, "description": "Minimum composite score, 0-100.", "title": "Min Composite", "type": "number" }, "min_coverage": { "default": 0.6, "description": "Minimum share of the five factors a company must be scored on, 0-1 (0.6 means at least 3 of 5).", "title": "Min Coverage", "type": "number" }, "weights": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Optional JSON object of factor weights, e.g. {\"quality\":0.4,\"value\":0.4}. Factors: quality, value, insider, institutional and sentiment; each defaults to 0.2, and unknown keys or negative weights are ignored.", "title": "Weights" } }, "title": "top_signalsArguments", "type": "object" }, "name": "top_signals", "outputSchema": { "properties": { "result": { "title": "Result", "type": "string" } }, "required": [ "result" ], "title": "top_signalsOutput", "type": "object" } } ] }
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