Bank vs Custom Peer Group Comparison
FreeBank CAMELS metrics vs a user-defined peer set with percentile/quartile classification.
About this dataset
Bank vs Custom Peer Group Comparison is a Free dataset in the Screeners group of the BankRegReports Data API.
A bank's CAMELS metrics vs a user-defined peer set, with percentile / quartile classification, a summary score, and top strengths / weaknesses. `ag_lending` adds the agricultural lending set (production and farmland balances in $000, past due 30-89 and 90+ days and nonaccrual as a percent of agricultural loans, share of total loans, and the production loan yield where filed), each with the group median and the number of group banks reporting it; it is not part of the summary score. `group_id` must be a group owned by the caller.
Endpoint
GET /api/v1/banks/{rssd_id}/custom-peer-comparison/ Parameters
| Name | Required | Description |
|---|---|---|
| rssd_id | required | Federal Reserve RSSD id. e.g. 852218 |
| group_id | required | CustomPeerGroup id owned by the caller. e.g. 1 |
Example request
curl "https://api.bankregreports.com/api/v1/banks/852218/custom-peer-comparison/" \ -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 vs Custom Peer Group Comparison sits in the Screeners 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 custom_peer_comparison 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 Screener: Every FDIC-insured bank with key ratios; filter, sort, paginate.
- Screener Dataset (full working set): The entire bank universe with screener columns in one response, for the paid client-side (in-browser) screener. Paid tier only; free callers page through the screener endpoint instead.
- Loan-Concentration Screener: Screen banks by loan-portfolio concentration.
- M&A Target Screener: Banks scored as likely acquisition targets.
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
The Python SDK does not have a method for this dataset yet. Call the REST endpoint above with any HTTP client.