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Bank Profile Composite

Public

Above-the-fold composite: snapshot + scorecard + ranks + events + ML prediction.

About this dataset

Bank Profile Composite is a Public dataset in the Banks group of the BankRegReports Data API. The response carries 6 documented fields, sourced from BRR composite (FFIEC + ML + NIC).

One-request payload for the bank-profile page's above-the-fold view. Bundles the snapshot identity row, the scorecard composite grade, the 5 most-relevant ranks (CET1/ROA/NIM/Efficiency/NPL), the last 5 events, and a minimal ML risk-tier badge. Replaces 5-8 sequential round-trips with one. Sections are independently nullable, a partial backend outage in one section does not break the rest. Responses are cached for up to 12 hours and refresh when new filings load.

Endpoint

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

Parameters

Name Required Description
rssd_id required Federal Reserve RSSD id. e.g. 852218

Response fields

Field Type Description
rssd_id integer RSSD ID (count)
snapshot object, nullable
scorecard object, nullable
ranks array of object
recent_events array of object
ml_summary object, nullable

Example request

curl "https://api.bankregreports.com/api/v1/banks/852218/profile/" \
  -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": [
    {
      "rssd_id": "integer",
      "snapshot": "object",
      "scorecard": "object",
      "ranks": "array of object",
      "recent_events": "array of object",
      "ml_summary": "object"
    }
  ],
  "meta": { ... }
}

When to use it

Bank Profile Composite 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_profile 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_profile(rssd_id=rssd_id)
Powered by BankRegReports API