About this dataset
Bank Deep Dive is a Public dataset in the Banks group of the BankRegReports Data API. It is sourced from FFIEC Call Report + UBPR.
Returns every snapshot field for one bank, about 150 fields covering balance sheet, income statement line items, capital structure, deposit composition, loan composition, securities portfolio, asset quality detail, off-balance sheet, derivatives, yields/costs, and operating metrics. Powers the Bank Deep Dive page. Dollar fields are in thousands of US dollars (the FFIEC $000 basis); ratio fields are percent. JSON keys are UPPERCASE field names that map back to MDRM concepts.
Endpoint
GET /api/v1/banks/{rssd_id}/deep-dive/ Parameters
| Name | Required | Description |
|---|---|---|
| rssd_id | required | Federal Reserve RSSD id. e.g. 852218 |
| periods | optional | Number of recent quarters (default 5). e.g. 5 |
Example request
curl "https://api.bankregreports.com/api/v1/banks/852218/deep-dive/" \ -H "Authorization: Bearer $BANKREG_API_TOKEN"
Responses are JSON in a {"data": ..., "meta": {...}} envelope. Get a token on the setup page.
When to use it
Bank Deep Dive sits in the Banks 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 bank_deep_dive naming it the same way in the REST path, the Python SDK and the OpenAPI document.
Access and authentication
This dataset is in the Public 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
- Bank Directory: Directory of all FDIC-insured banks with identity + headline figures.
- Bank Snapshot: Latest filed-quarter snapshot for one bank: balance sheet, capital, ratios.
- Bank Trends: Quarterly time series of key metrics for one bank.
- HMDA Mortgage-Lending Book: Per-bank Home Mortgage Disclosure Act book - applications, originations, denials, and USD volumes by activity year and state.
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.bank_deep_dive(rssd_id=rssd_id)