Industry Roster API: Every SEC registrant in one SIC industry with total assets and revenue — SEC XBRL
Every SEC registrant in one SIC industry with total assets and revenue joined from corpus-wide XBRL frames, sorted largest first — the industry map in one call, by SIC code or resolved from any ticker.
$0.02 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/peers/industry — product id
peers_industry. Over MCP, call answerpool_get with
product_id=peers_industry.
curl "https://answerpool.io/v1/peers/industry?sic=3571"
# with a prepaid credit key
curl -H "Authorization: Bearer ck_live_..." "https://answerpool.io/v1/peers/industry?sic=3571"
Live call: https://answerpool.io/v1/peers/industry?sic=3571 · JSON sample: /v1/samples/peers_industry
What does the answer look like?
A representative response, the same static sample served at /v1/samples/peers_industry.
as_of | 2026-09-02T21:00:00Z |
|---|---|
sic | 3571 |
frame_year | 2025 |
count | 1 |
refresh_after | 2026-09-17T11:15:00.000Z |
companies
| cik | ticker | name | assets_usd | revenue_usd |
|---|---|---|---|---|
| 0000320193 | AAPL | Apple Inc. | 365000000000.0 | 400000000000.0 |
The same sample as raw JSON
{
"as_of": "2026-09-02T21:00:00Z",
"sic": 3571,
"frame_year": 2025,
"count": 1,
"companies": [
{
"cik": "0000320193",
"ticker": "AAPL",
"name": "Apple Inc.",
"assets_usd": 365000000000.0,
"revenue_usd": 400000000000.0
}
],
"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?
You want the industry's public players and their scale, fast.
What you skip building
- SIC directory scraping
- frames joins
- size aggregation
When should you not use it?
Ranked similarity to one company — use the peers endpoint.
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