About this dataset
Recent Failures is a Public dataset in the Risk & Failures group of the BankRegReports Data API. The response carries 10 documented fields, sourced from FDIC.
Most-recent bank failures, ordered by closing date.
Endpoint
GET /api/v1/failures/recent/ Parameters
| Name | Required | Description |
|---|---|---|
| limit | optional | Max rows (default 25). e.g. 25 |
Response fields
| Field | Type | Description |
|---|---|---|
| cert | integer, nullable | |
| bank_name | string | |
| city | string, nullable | |
| state | string, nullable | |
| closing_date | string (date), nullable | |
| fail_year | integer, nullable | |
| failed_assets | number (double), nullable | |
| failed_deposits | number (double), nullable | |
| resolution_type | string, nullable | |
| acquirer | string, nullable |
Example request
curl "https://api.bankregreports.com/api/v1/failures/recent/" \ -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": [
{
"cert": "integer",
"bank_name": "string",
"city": "string",
"state": "string",
"closing_date": "string (date)",
"fail_year": "integer",
"failed_assets": "number (double)",
"failed_deposits": "number (double)"
... 2 more fields
}
],
"meta": { ... }
} When to use it
Recent Failures sits in the Risk & Failures 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 failures_recent 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
- High-Risk Banks: Banks ranked by the exploratory failure-risk screening score (uncalibrated, not a probability of failure).
- Failure Risk Score: Exploratory 1-year failure-risk screening score (not a calibrated probability) + safety verdict for one bank.
- Failures by Year: Bank failure counts and total assets by year.
- Risk Tier Overview: Counts of banks by failure-risk tier (Critical/High/Elevated/Moderate/Low), from an exploratory screening score.
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
result = brr.dataset("failures_recent")