Bank Structural Events

About this dataset

Bank Structural Events is a Public dataset in the Banks group of the BankRegReports Data API. The response carries 20 documented fields, sourced from Federal Reserve NIC.

Per-bank NIC structural events: openings, closures, charter changes, mergers/acquisitions, transformations. Includes events where the bank is the primary OR the counterparty. Sorted newest first. Caching: 12h.

Endpoint

GET /api/v1/banks/{rssd_id}/events/

Parameters

Name	Required	Description
rssd_id	required	Federal Reserve RSSD id. e.g. 852218
limit	optional	Max rows (default 100, max 500). e.g. 100
material	optional	boolean 1 to collapse the copies of one event reported by several sources (NIC, SEC, FDIC) into one row, listed in `sources`, and to leave out routine 8-K rows (event_type ma_related).

Response fields

Field	Type	Description
event_date	string (date), nullable
event_category	string, nullable
event_type	string, nullable
event_label	string, nullable
primary_brr_id	string, nullable
counterparty_brr_id	string, nullable
primary_rssd_id	integer, nullable
primary_name	string, nullable
source	string, nullable
source_code	string, nullable
details	string, nullable
logo	object, nullable
plain_label	string, nullable
category_label	string, nullable
plain_details	string, nullable
sources	array of string
viewer_role	string, nullable
other_name	string, nullable
counterparty_rssd_id	integer, nullable
combination_key	string, nullable

Example request

curl "https://api.bankregreports.com/api/v1/banks/852218/events/" \
  -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": [
    {
      "event_date": "string (date)",
      "event_category": "string",
      "event_type": "string",
      "event_label": "string",
      "primary_brr_id": "string",
      "counterparty_brr_id": "string",
      "primary_rssd_id": "integer",
      "primary_name": "string"
      ... 12 more fields
    }
  ],
  "meta": { ... }
}

When to use it

Bank Structural Events 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_events 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.

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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_events(rssd_id=rssd_id)