Data Enrichment

Address Parsing:

Breaks down an address into its individual, standardized components to improve input data quality (e.g., separating building number, street, city).

Address Verification:

Matches and validates standardized addresses against reference data to ensure validity and deliverability.

Geocoding:

Converts address information into precise latitude and longitude coordinates, with metadata on match quality and unique address identifiers.

Reverse Geocoding:

Converts latitude and longitude coordinates back to the nearest real-world address.

Address Autocomplete:

Suggests complete addresses or place names as users type, reducing data-entry errors and speeding up workflows.

Property Attribute Enrichment:

Enhances address/location data with property-level details (such as type, value, or occupancy).

Risk and Boundary Data:

Adds information on coastal, flood, earth, fire, and wildfire risk; provides neighborhood boundaries and local geo-boundaries.

Demographic Data:

Integrates demographic attributes (population, income, etc.) with location/address records for richer analytics.

Weather and Historical Data:

Provides attributes related to historical weather or catastrophic event risk for a given area.

Boundary Enrichment:

Appends information about political, postal, or statistical boundaries to datasets (e.g. local authorities, neighborhoods).

Data Graph API:

Unified access to a large portfolio of trusted datasets for address/location lookups, rapid enrichment, and flexible queries.

Search Nearby:

Identifies the nearest locations or features to a given point or geometry.

Search At Location:

Finds all locations or points of interest within or near a specified area.

Spatial Summary:

Provides aggregate metrics (such as population density, area, custom attributes) for a defined region.

Overlap Analysis:

Detects spatial intersections between user-specified geometries and datasets, supporting sophisticated geospatial queries.