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Consumer Rates

Public

FRB G.19 consumer credit rates.

About this dataset

Consumer Rates is a Public dataset in the Rate Environment group of the BankRegReports Data API. The response carries 10 documented fields, sourced from FRB G.19.

Endpoint

GET /api/v1/rates/consumer/

Parameters

Name Required Description
series optional G.19 series name, e.g. DTCNLHF_XDF_BA_N.M. e.g. DTCNLHF_XDF_BA_N.M
limit optional string
since optional string
until optional string

Response fields

Field Type Description
dataset string, nullable
series_name string, nullable
time_period string (date), nullable
obs_value string (decimal), nullable
obs_status string, nullable
credit_type string, nullable
holder string, nullable
seasonal_adj string, nullable
data_rep string, nullable
unit string, nullable

Example request

curl "https://api.bankregreports.com/api/v1/rates/consumer/" \
  -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": [
    {
      "dataset": "string",
      "series_name": "string",
      "time_period": "string (date)",
      "obs_value": "string (decimal)",
      "obs_status": "string",
      "credit_type": "string",
      "holder": "string",
      "seasonal_adj": "string"
      ... 2 more fields
    }
  ],
  "meta": { ... }
}

When to use it

Consumer Rates sits in the Rate Environment 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 rates_consumer 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.

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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("rates_consumer")
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