XBRL Frame API: Rank every SEC filer on one XBRL metric for one period — SEC XBRL
Rank every SEC filer on one XBRL metric for one period — top-N values with entity names and the total filer count, from the frames API. Use for whole-market screens without a bulk XBRL pipeline; one MCP incumbent exists for xbrl.
$0.05 per call — pay with prepaid card credits (Authorization: Bearer ck_live_…, packs from $1) or with USDC over x402: call it, get 402 with the price, retry signed. Failed calls are never charged.
How do you call it?
GET /v1/sec/xbrl/frame — product id
sec_xbrl_frame. Over MCP, call answerpool_get with
product_id=sec_xbrl_frame.
curl "https://answerpool.io/v1/sec/xbrl/frame?metric=rnd_expense&period=CY2025Q1"
# with a prepaid credit key
curl -H "Authorization: Bearer ck_live_..." "https://answerpool.io/v1/sec/xbrl/frame?metric=rnd_expense&period=CY2025Q1"
Live call: https://answerpool.io/v1/sec/xbrl/frame?metric=rnd_expense&period=CY2025Q1 · JSON sample: /v1/samples/sec_xbrl_frame
What does the answer look like?
A representative response, the same static sample served at /v1/samples/sec_xbrl_frame.
as_of | 2026-08-31T14:00:00Z |
|---|---|
metric | revenue |
tag | Revenues |
period | CY2025Q1 |
total_filers | 4000 |
refresh_after | 2026-09-17T11:15:00.000Z |
top
| cik | entity | value |
|---|---|---|
| 0000320193 | Apple Inc. | 94000000000.0 |
The same sample as raw JSON
{
"as_of": "2026-08-31T14:00:00Z",
"metric": "revenue",
"tag": "Revenues",
"period": "CY2025Q1",
"total_filers": 4000,
"top": [
{
"cik": "0000320193",
"entity": "Apple Inc.",
"value": 94000000000.0
}
],
"refresh_after": "2026-09-17T11:15:00.000Z"
}How fresh is it, and where does the data come from?
The fastest source behind this answer can change every 15 minutes, so every response carries a refresh_after timestamp — right now it would be 2026-09-17T11:15:00.000Z. Schedule the next call on that value rather than on a guess.
- SEC EDGAR (US federal public domain) — upstream:
https://efts.sec.gov
Method version 0.1.0 ·
serving cache 1 day ·
every response carries a result_id you can resolve at
/v1/provenance.
When should you use it?
Whole-market, single-period metric questions.
What you skip building
- bulk XBRL processing
- frames period quirks
- ranking
When should you not use it?
Company histories — concept/financials; small peer sets — compare.
Where else can you find this?
- Catalog entry (JSON, free)
- OpenAPI schema — input and output types, prices, the 402 flow
- llms.txt — every product in one plain-text document