Changelog

In the API, GET requests for cohorts will now return residence_count alongside the previously-available individual-count.

Each pipeline includes a diagnostics section that runs checks to help ensure that your pipelines are properly configured. These checks will look at both the population and payload of a pipeline, then compare them with the eligible population used in the predictions (outcomes or recommenders) themselves.

Check out our docs for full details.

Users can now provide a Webhook endpoint (via POST /webhook_endpoints) to receive real-time notifications about resource status changes in their account. This enhancement is particularly beneficial for our Powered by Faraday clients who rely on timely updates to orchestrate their Faraday configurations.

View our documentation to learn more.

Identified and referenced deployments will now include an enrichment precision column. This is broken down into individual-level and residence-level.

• Individual enrichment precision means that Faraday is able to assign person-level traits to an identity, like age, consumer habits, or marital status.
• Residence enrichment precision means that Faraday is able to assign address- or property-level traits to an identity, like home value or number of bedrooms.
• Region enrichment precision means that Faraday is able to assign postcode-level traits to an identity, like average commute time or average property tax.

The Faraday Identity Graph received a significant update, with over 800 brand new traits and updates to hundreds of existing traits. These new and updates traits are available by default for users when building predictive models–no additional action is required. Check out our blog for more info.

Faraday now allows users to export the traits available to their accounts as a CSV. When cross-referenced with FIG, this export creates an up-to-date data dictionary, providing an overview of trait metadata such as category, coverage, and class.

View our documentation to learn more.

The events index in the Dashboard UI now displays the number of events in each event stream, when the most recent event was added, and the status of the event stream (e.g. ready, error). Additionally, each event stream now includes a section for analysis that shows the event stream's change over time.

Faraday's Lookup API now supports the use of identity sets, which enable you to include multiple identifiers in a single request, rather than having to create a separate request for each identifier. If the root identifier isn't found, Faraday searches for a match through each subsequent identifier. For more info, check out our Lookup docs.

Users can now automatically declare all columns in a Dataset as Traits, eliminating the need to manually label each one. This is achieved using the output_all_columns_as_traits property, which includes options to fine-tune which columns are included or excluded.

View our documentation to learn more.

Added three new date columns to resource index views. Created date is the date that the resource was created. Modified refers to the date that the resource’s configuration was last modified (e.g. a trait was added to a cohort’s definition). Lastly, processed is the last time the output was processed by Faraday (i.e. the output changed). Additionally, columns can now be sorted by ascending or descending values.