Data Enrichment

Data enrichment is the process of augmenting an existing dataset or record by adding information from external sources. The goal is to make data more complete, contextual, and useful than the raw source alone provides.

Common examples include enriching property listings with neighborhood walkability scores, school district ratings, or nearby amenity counts. Enriching e-commerce product records with competitor pricing adds a dimension not present in the original catalog data.

APIs are the primary mechanism for data enrichment - each API call adds one or more data points to a record in your system. Building an enrichment pipeline means identifying which external sources add the most value, then calling the relevant APIs for each record that needs enrichment.