Large Raises API: Rank Reg D offerings above a USD threshold — SEC Form D
Rank Reg D offerings above a USD threshold — returns issuer, industry, target size, sold and remaining amounts, largest first. Use to spot big private raises without scanning the full Form D feed.
Free — no key, no signup, rate-limited to 60 calls per minute per client.
How do you call it?
GET /v1/sec/formd/large — product id
sec_formd_large_raises. Over MCP, call answerpool_get with
product_id=sec_formd_large_raises.
curl "https://answerpool.io/v1/sec/formd/large?min_usd=50000000"
Live call: https://answerpool.io/v1/sec/formd/large?min_usd=50000000 · JSON sample: /v1/samples/sec_formd_large_raises
What does the answer look like?
A representative response, the same static sample served at /v1/samples/sec_formd_large_raises.
as_of | 2026-08-31T14:00:00Z |
|---|---|
index_started_at | 2026-08-27T00:00:00Z |
since | 2026-08-24T00:00:00 |
count | 1 |
refresh_after | 2026-09-17T11:15:00.000Z |
offerings
| accession | filed_at | cik | company | state | entity_type | industry_group | is_amendment | total_offering_usd | sold_usd | remaining_usd | investors |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0002150620-26-000001 | 2026-08-28T17:30:10 | 0002150620 | Upfront Secondary II-C, L.P. | CA | Limited Partnership | Pooled Investment Fund | false | 60000000.0 | 10000000.0 | 50000000.0 | 3 |
The same sample as raw JSON
{
"as_of": "2026-08-31T14:00:00Z",
"index_started_at": "2026-08-27T00:00:00Z",
"since": "2026-08-24T00:00:00",
"count": 1,
"offerings": [
{
"accession": "0002150620-26-000001",
"filed_at": "2026-08-28T17:30:10",
"cik": "0002150620",
"company": "Upfront Secondary II-C, L.P.",
"state": "CA",
"entity_type": "Limited Partnership",
"industry_group": "Pooled Investment Fund",
"is_amendment": false,
"total_offering_usd": 60000000.0,
"sold_usd": 10000000.0,
"remaining_usd": 50000000.0,
"investors": 3,
"exemptions": [
"06b"
],
"minimum_investment": null,
"first_sale_date": "2026-08-20",
"filing_url": "https://www.sec.gov/Archives/edgar/data/2150620/000215062026000001-index.htm"
}
],
"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?
Screening for size; adjust min_usd to taste.
What you skip building
- threshold filtering
- ranking
- XML parsing
When should you not use it?
Fund-vehicle tracking — use the funds view.
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