Industry Rate Environment, Trends

About this dataset

Industry Rate Environment, Trends is a Public dataset in the Industry & Macro group of the BankRegReports Data API. The response carries 2 documented fields, sourced from FRED Treasury yield curve + FFIEC Call Report.

Time-series companion to /industry/rate-environment/. Returns the full treasury yield-curve history plus the industry-wide NIM / yield / funding-cost trend used by the dashboard rate-environment chart.

Endpoint

GET /api/v1/industry/rate-environment/trends/

Parameters

Name	Required	Description
yield_curve_limit	optional	Max yield-curve observations (1-2000, default 500). e.g. 500

Response fields

Field	Type	Description
yield_curve	array of object
nim_trends	array of object

Example request

curl "https://api.bankregreports.com/api/v1/industry/rate-environment/trends/" \
  -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": [
    {
      "yield_curve": "array of object",
      "nim_trends": "array of object"
    }
  ],
  "meta": { ... }
}

When to use it

Industry Rate Environment, Trends sits in the Industry & Macro 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 rate_environment_trends 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

• Industry Snapshot: Industry-wide aggregate snapshot.
• Industry Trends: Industry-wide metric trends over time.
• Peer Groups: Standard peer-group definitions and rollups.
• Credit Union Industry Ratios: National credit union ratios by charter type (FICU, FCU, FISCU), quarterly from June 2023.

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
result = brr.dataset("rate_environment_trends")