SEC Company Search API: Search SEC registrants by name substring or ticker — free lookup
Search SEC registrants by name substring or ticker — returns candidate filers with CIK, ticker and registered name. Free. Use to disambiguate an informal company name before calling filings or facts endpoints.
Free — no key, no signup, rate-limited to 60 calls per minute per client.
How do you call it?
GET /v1/sec/search/company — product id
sec_company_search. Over MCP, call answerpool_get with
product_id=sec_company_search.
curl "https://answerpool.io/v1/sec/search/company?q=jefferies"
Live call: https://answerpool.io/v1/sec/search/company?q=jefferies · JSON sample: /v1/samples/sec_company_search
What does the answer look like?
A representative response, the same static sample served at /v1/samples/sec_company_search.
as_of | 2026-08-31T14:00:00Z |
|---|---|
count | 1 |
refresh_after | 2026-09-17T11:15:00.000Z |
matches
| cik | ticker | name |
|---|---|---|
| 0000096223 | JEF | JEFFERIES FINANCIAL GROUP INC. |
The same sample as raw JSON
{
"as_of": "2026-08-31T14:00:00Z",
"count": 1,
"matches": [
{
"cik": "0000096223",
"ticker": "JEF",
"name": "JEFFERIES FINANCIAL GROUP INC."
}
],
"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?
The exact registered name or ticker is unknown.
What you skip building
- name normalization
- mapping-file parsing
When should you not use it?
You already have the ticker or CIK — use the lookups.
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