US Startup Funding Rounds (SEC Form D, $5M+), Updated Weekly
2026-10-13 – 2026-10-16 · Updated Oct 18, 2026
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- CC BY 4.0
- Source / creator
- SpecStream, from SEC EDGAR Form D filings
- Collection method
- Each filing day is one SpecStream request that reads that day's Form D filings on SEC EDGAR, keeps US addresses with at least $5,000,000 sold, and records the filing link. Funds, insurers, banks and real-estate vehicles are dropped by the industry the filer picked on the form.
- Coverage start
- 2026-10-13
- Coverage end
- 2026-10-16
- Data last updated
- 2026-10-16
- Update schedule
- Weekly, every Saturday. The listing's file is replaced with the full merged file, so a download always has every week so far.
One row per company and filing day. A day can come back one company short of EDGAR's daily index (Oct 14 and Oct 16, 2026 each missed one). Amounts are the amount sold so far in the offering, as filed.
Sample structure score: 99.7 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (CSV) on 2026-10-18. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 50 / 50 | 110 of 110 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 29.7 / 30 | 109 of 110 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| company | 0 / 10 | string | 0 / 10 |
| industry | 0 / 10 | string | 0 / 10 |
| amount_sold_usd | 0 / 10 | number | 0 / 10 |
| filing_date | 0 / 10 | string | 0 / 10 |
| filing_week | 0 / 10 | string | 0 / 10 |
| city | 0 / 10 | string | 0 / 10 |
| state | 0 / 10 | string | 0 / 10 |
| zip | 0 / 10 | number | 1 / 10 |
| address | 0 / 10 | string | 0 / 10 |
| sec_cik | 0 / 10 | number | 0 / 10 |
| sec_filing_url | 0 / 10 | string | 0 / 10 |
About this data
US companies that filed a Form D for $5 million or more sold, one row per company and filing day: the amount sold, the industry the company reported, its address, the filing date and the link to the filing on sec.gov. A new week is added every Saturday. When a US company raises money privately (seed, venture, growth equity, convertible notes), it files a Form D with the SEC within 15 days of the first sale. Plenty of rounds never get a press release. The Form D is there anyway. Funds, insurers, banks and real-estate vehicles are left out by the industry each filer picked on the form, so what's left are operating companies raising a round. Columns: company, industry, amount_sold_usd, filing_date, filing_week, city, state, zip, address, sec_cik, sec_filing_url. Good for: finding companies that just raised while the budget is fresh, counting rounds by week, industry and state, and joining with a CRM by company name or SEC CIK. Built with SpecStream, the live web data engine for teams and agents. The same rows come as an RSS feed and a JSON feed at specstream.ai/feeds/us-funding-rounds.json. For another amount, other states or industries, or the executives each filing names, ask SpecStream in plain words at specstream.ai or through its MCP server.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py 5382c8c0-efe0-4eae-854f-a74f92d3fd06 --output dataset.bin
Schema
| Name | Type | Description |
|---|---|---|
| company | string | |
| industry | string | |
| amount_sold_usd | number | |
| filing_date | string | |
| filing_week | string | |
| city | string | |
| state | string | |
| zip | number | |
| address | string | |
| sec_cik | number | |
| sec_filing_url | string |
Sample Data
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For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "US Startup Funding Rounds (SEC" })
// Found: 5382c8c0-efe0-4eae-854f-a74f92d3fd06
get_download_url({ dataset_id: "5382c8c0-efe0-4eae-854f-a74f92d3fd06" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/5382c8c0-efe0-4eae-854f-a74f92d3fd06/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"