About this dataset
Credit Union ATMs is a Public dataset in the Credit Unions group of the BankRegReports Data API. It is sourced from NCUA.
ATM locations for one credit union. Columns can change when NCUA adds fields.
Endpoint
GET /api/v1/cus/{cu_number}/atms/ Parameters
| Name | Required | Description |
|---|---|---|
| cu_number | required | NCUA charter number. e.g. 5536 |
Example request
curl "https://api.bankregreports.com/api/v1/cus/5536/atms/" \ -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
Credit Union ATMs sits in the Credit Unions 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 cu_atms 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
- Credit Union Directory: Directory of NCUA-insured credit unions.
- Credit Union Snapshot: Latest snapshot for one credit union.
- Credit Union Trends: Quarterly metric time series for one credit union.
- Credit Union Peer Benchmarks: Pre-computed peer-group benchmarks for credit unions by asset tier.
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
cu_number = 5536 # Navy Federal Credit Union
result = brr.dataset("cu_atms", cu_number=cu_number)