EDGAR XBRL Frame — Cross-Sectional Financial Data for All US Public Companies is a paid API for AI agents from agent402.tools, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Returns a cross-sectional slice of a single XBRL financial concept (e.g. Revenues, Assets) for every US public company that reported it in a given period, sourced from SEC EDGAR's frames API.
All US public companies that reported a given XBRL tag for a given period, in one call. Killer endpoint for cross-sectional screens: 'every issuer's Revenues for CY2023Q1' or 'every issuer's Assets as of CY2023Q4I (instantaneous)'. Period format: CY{YYYY} (annual), CY{YYYY}Q{1-4} (quarterly), or CY{YYYY}Q{1-4}I (instantaneous balance-sheet items). Source: data.sec.gov/api/xbrl/frames. ?taxonomy=us-gaap&tag=Revenues&unit=USD&period=CY2023Q1
A list of up to 2000 company records, each containing the company's CIK, name, reported XBRL value, unit, and the specific period covered — representing every US public filer that reported the requested concept in that period.
GEThttps://agent402.tools/api/edgar-xbrl-frameUse this endpoint when you need a cross-sectional, universe-wide snapshot of a single XBRL financial concept across all US public companies for a specific period — ideal for factor screens, peer comparisons, and quantitative research. Prefer this over company-specific EDGAR endpoints when you need market-wide data rather than drilling into a single issuer.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"ccp": "CY2023Q1",
"tag": "Revenues",
"uom": "USD",
"data": [
{
"cik": 320193,
"end": "2023-04-01",
"loc": "US-CA",
"val": 94836000000,
"accn": "0000320193-23-000064",
"entityName": "Apple Inc."
}
],
"label": "Revenues",
"returned": 1,
"taxonomy": "us-gaap",
"truncated": true,
"totalCompanies": 1872
}
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