// edgar.financials.query
{
 1"ticker":        "AAPL",
 2"period":        "annual",
 3"filingType":   "10-K",
 4"income": {
 5  "revenue":          383285000000,
 6  "grossProfit":      169148000000,
 7  "operatingIncome":  113736000000,
 8  "netIncome":        99803000000,
 9  "eps":              6.43
10},
11"balance": {
12  "totalAssets":      352583000000,
13  "totalLiabilities": 290437000000,
14  "equity":           62146000000,
15  "debtToEquity":     1.73
16},
17"source":       "SEC EDGAR",
18"normalized":   true
}

// data.transform.pipeline
async function processFilings(tickers) {
const results = [];
for (const sym of tickers) {
  const raw  = await edgar.fetch(sym);
  const norm = normalize(raw);
  results.push({
    ticker:   sym,
    income:   norm.income,
    balance:  norm.balance,
    cashflow: norm.cashflow
  });
}
return exportDataset({ json, excel });
}

// macro.fred.timeseries
{
 1"series":    "CPIAUCSL",
 2"label":     "CPI All Items",
 3"frequency": "monthly",
 4"source":    "FRED · St. Louis",
 5"data": [
 6  { "date": "2024-12", "value": 314.8, "yoy": 2.9 },
 7  { "date": "2024-11", "value": 314.1, "yoy": 2.7 },
 8  { "date": "2024-10", "value": 313.5, "yoy": 2.6 },
 9  { "date": "2024-09", "value": 312.8, "yoy": 2.4 }
10],
11"normalized": true,
12"format":    "excel + json"
}

// screener.query → results
SELECT   ticker, company,
 1         revenue_ttm, net_margin,
 2         pe_ratio,    free_cashflow
FROM     edgar.fundamentals
WHERE    net_margin > 0.20
 3  AND  pe_ratio   < 30
 4  AND  sector     = 'Technology'
 5  AND  market_cap > 10e9
ORDER BY free_cashflow DESC
LIMIT    20;
 6-- 12 results: AAPL MSFT GOOGL
 7--             NVDA META ADBE

Data Processing Transforming

1 { 2 "ticker": "AAPL", 3 "filingType": "10-K", 4 "income": { 5 "revenue": 383285000000, 6 "grossProfit": 169148000000, 7 "netIncome": 99803000000, 8 "eps": 6.43 9 }, 10 "normalized": true 11 }

Transformation Script

1 async function processFilings(tickers) { 2 const results = []; 3 for (const sym of tickers) { 4 const raw = await edgar.fetch(sym); 5 const norm = normalize(raw); 6 results.push({ 7 ticker: sym, 8 income: norm.income, 9 balance: norm.balance 10 }); 11 } 12 return exportDataset({ json, excel }); 13 }

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nivvuro — edgar.financials · live query

Ticker	Company	Sector	Revenue (TTM)	Net Margin	P/E	Free CF	Δ 30d
AAPL	Apple Inc.	Tech	$383.3B	26.4%	28.9	$99.6B	+4.2%
MSFT	Microsoft Corp.	Tech	$227.6B	35.8%	34.2	$70.1B	+6.7%
JPM	JPMorgan Chase	Finance	$158.1B	31.2%	12.1	—	−1.8%
JNJ	Johnson & Johnson	Health	$88.9B	18.6%	16.4	$14.2B	+1.1%

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