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Brand Metrics

New in v0.10

The brand-metrics endpoint has full support, including query validation.

Endpoint Function Client method Filters class
"brand-metrics" brand_metrics Client.brand_metrics BrandMetricsFilters

For more information on available filters and functionality, see the Fount documentation for the brand-metrics endpoint.

Usage

Using top-level functions
import bavapi

result = bavapi.brand_metrics("TOKEN", name="Differentiation")
Using Client asynchronously
import bavapi

async with bavapi.Client("TOKEN") as bav:
    result = await bav.brand_metrics(name="Differentiation")

Available filters in function calls

These filters are available directly within the function/method:

  • Positional filters: name, active, public
  • Keyword filters: metric_id, private, groups

For other filters, passing a BrandMetricsFilters instance to the filters parameter is required.