About this dataset
SEC Filing Index is a Free dataset in the SEC Data group of the BankRegReports Data API. The response carries 6 documented fields, sourced from SEC EDGAR.
SEC EDGAR filings index for the bank, newest first.
Endpoint
GET /api/v1/banks/{rssd_id}/sec/filings/ Parameters
| Name | Required | Description |
|---|---|---|
| rssd_id | required | Federal Reserve RSSD id. e.g. 852218 |
Response fields
| Field | Type | Description |
|---|---|---|
| accession_number | string | |
| filed_date | string (date), nullable | |
| file_count | integer | |
| total_size_bytes | integer, nullable | |
| cik | integer, nullable | SEC CIK (count) |
| ticker | string, nullable | Ticker (text) |
Example request
curl "https://api.bankregreports.com/api/v1/banks/852218/sec/filings/" \ -H "Authorization: Bearer $BANKREG_API_TOKEN"
Responses are JSON in a {"data": ..., "meta": {...}} envelope. Get a token on the setup page.
Example response shape
A successful call returns HTTP 200 with a JSON body. Each row in data carries the fields below, shown with their documented types rather than sample values.
{
"data": [
{
"accession_number": "string",
"filed_date": "string (date)",
"file_count": "integer",
"total_size_bytes": "integer",
"cik": "integer",
"ticker": "string"
}
],
"meta": { ... }
} When to use it
SEC Filing Index sits in the SEC Data group of the Data API. Reach for it when your work needs this data straight from the API: it comes back as JSON you can load into a notebook, a spreadsheet or a scheduled pipeline, with the dataset key sec_filings naming it the same way in the REST path, the Python SDK and the OpenAPI document.
Access and authentication
This dataset is in the Free tier. Send your API token in the Authorization header as a Bearer token, using a GET request to the endpoint above. The Free plan is the first plan that includes it. Check the plan comparison for request limits, and the data update schedule for when new filings reach the API.
Related datasets
- XBRL Financial Facts: Most recently filed XBRL concept facts from the bank's 10-K/Q.
- Insider Transactions: Insider Form-4 transactions for one bank's registrant.
- 8-K Material Events: 8-K filings broken out by item number, the SEC material-event feed.
- M&A Events (SEC): Mergers & acquisitions where this bank is on either side (SEC filings).
Keep going
Browse every dataset, follow the setup walkthrough to make a first call, use the Excel add-in for formulas, or connect an assistant through the MCP server.
Python SDK
Install with pip install bankregreports and set BANKREG_API_TOKEN to your key.
import bankregreports brr = bankregreports.BankReg() # reads BANKREG_API_TOKEN rssd_id = 852218 # JPMorgan Chase Bank, N.A. result = brr.sec_filings(rssd_id=rssd_id)