About this dataset
Bank Scorecard is a Free dataset in the Banks group of the BankRegReports Data API. The response carries 15 documented fields, sourced from BankRegReports (derived).
The bank's financial strength score (score_v2, 0 to 100, with grade_v2 and the six v2 component scores and grades), the same score the best-banks rankings use. overall_score and the six *_score fields are the v1 health score: deprecated, kept for one release (to 2026-12-31).
Endpoint
GET /api/v1/banks/{rssd_id}/scorecard/ 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) |
| legal_name | string | Legal Name (text) |
| overall_score | number (double), nullable | Deprecated: the v1 health score, kept for one release (to 2026-12-31) and then removed. Read score_v2, the bank's financial strength score. |
| capital_score | number (double), nullable | Deprecated: the v1 health score, kept for one release (to 2026-12-31) and then removed. Read score_v2, the bank's financial strength score. |
| asset_quality_score | number (double), nullable | Deprecated: the v1 health score, kept for one release (to 2026-12-31) and then removed. Read score_v2, the bank's financial strength score. |
| earnings_score | number (double), nullable | Deprecated: the v1 health score, kept for one release (to 2026-12-31) and then removed. Read score_v2, the bank's financial strength score. |
| liquidity_score | number (double), nullable | Deprecated: the v1 health score, kept for one release (to 2026-12-31) and then removed. Read score_v2, the bank's financial strength score. |
| sensitivity_score | number (double), nullable | Deprecated: the v1 health score, kept for one release (to 2026-12-31) and then removed. Read score_v2, the bank's financial strength score. |
| management_score | number (double), nullable | Deprecated: the v1 health score, kept for one release (to 2026-12-31) and then removed. Read score_v2, the bank's financial strength score. |
| report_date | string (date), nullable | Report Date (date) |
| score_v2 | number (double), nullable | Financial strength score, 0 to 100 (score v2). |
| grade_v2 | string, nullable | Grade of score_v2: A 90 or more, B 80, C 70, D 60, E 50, F below 50. |
| score_v2_report_date | string (date), nullable | |
| score_v2_method_version | string, nullable | |
| component_grades_v2 | object |
Example request
curl "https://api.bankregreports.com/api/v1/banks/852218/scorecard/" \ -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",
"legal_name": "string",
"overall_score": "number (double)",
"capital_score": "number (double)",
"asset_quality_score": "number (double)",
"earnings_score": "number (double)",
"liquidity_score": "number (double)",
"sensitivity_score": "number (double)"
... 7 more fields
}
],
"meta": { ... }
} When to use it
Bank Scorecard 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 scorecard 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
- 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.scorecard(rssd_id=rssd_id)