Comparing the Data Titans of Real Estate: Cotality (CoreLogic), ATTOM, Verisk, Cole, Scout, and ICE (Black Knight)

The world of property data is a high-stakes arena where accuracy, coverage, and the ability to link disparate datasets are critical for success. For professionals in lending, insurance, real estate, and finance, choosing the right data provider means the difference between informed decisions and costly risks.

But while most players chase retrospective property data, a new frontier is emerging: predictive, people-centric intelligence — knowing who will make a move before they do.

Meet the major players powering the modern property data economy.

Core Strengths and Primary Markets

Company	Core Data Strength	Primary Market
Cotality	MLS aggregation and standardization	Brokerages, CRMs, Proptechs
ATTOM	Clean, structured property data	Lenders, portals, insurance
Verisk	Predictive risk modeling and analytics	Insurance, finance, data science
Cole Information	Consumer contact and marketing data	Agents, SMBs, marketers
ICE (Black Knight)	Mortgage and loan data infrastructure	Banks, servicers, financial institutions
Scout	Predictive demographic and behavioral segmentation	Proptechs, real estate services, financial, enterprise consumer-marketing teams

Each company occupies a distinct layer of the real estate data ecosystem.

Cotality powers the listing layer. ATTOM owns the property record. Verisk models risk. Cole focuses on contacts. ICE runs the mortgage rails.

Scout complements all of them — turning raw data into human-level, action-ready intelligence.

Data Type and Use Case Focus

Company	Type of Data	Primary Use Case
Cotality	MLS listings, property metadata, and agent activity	Real-time listing visibility, brokerage systems
ATTOM	Public record, tax, deed, neighborhood, and demographic data	Property history, valuation, due diligence
Verisk	Property risk, insurance, and financial modeling data	Risk assessment, pricing, loss forecasting
Cole Information	Consumer name, phone, email, household demographics	Local marketing, prospecting
ICE (Black Knight)	Loan origination, lien, servicing, and performance data	Mortgage lifecycle management
Scout	Aggregated public and commercial property, real-estate transactions, demographic data, behavioral signals, and life-event models	Predictive lead scoring, audience enrichment, prospecting, geo-farming, lead monitoring

Most of the traditional giants focus on what has already happened — past transactions, risk, or ownership data.

Scout focuses on what’s about to happen — identifying likely movers, sellers, or investors before they act.

Licensing Model and Compliance Structure

Company	Licensing Model	Data Source Type	Access
Cotality	MLS-to-partner licensing	MLS (restricted)	Access limited to approved MLS participants and vendors
ATTOM	Direct license or API subscription	Public record	Commercial but redistributable under license
Verisk	Custom enterprise licensing	Proprietary + partner data	Highly restricted
Cole Information	Subscription-based access by ZIP or area	Public + telecom data	Direct marketing–compliant (CAN-SPAM/CASS)
ICE (Black Knight)	Closed enterprise license	Financial + loan data	Regulated data; strictly controlled
Scout	Aggregated public + commercial license	Public record + consumer data	Fully compliant; no MLS dependency; redistribution allowed within contracts

While most incumbents rely on tightly gated or enterprise-only agreements, Scout’s use of aggregated and public data means broader, legal, and faster access — especially for marketing use cases that require flexibility without MLS restrictions.

Pricing and Market Accessibility

Company	Typical Cost	Accessability
Cotality	$50K–$250K+/year	Enterprise-only
ATTOM	$25K–$100K+/year	Enterprise or mid-tier
Verisk	$250K+/year (custom)	Enterprise-only
Cole Information	~$995/year (per ZIP or territory)	SMB + individual access
ICE (Black Knight)	$150K+/year	Enterprise only (regulated)
Scout	$99+/month (tiered SaaS)	Individuals, SMBs, teams, and enterprises

Legacy data has enterprise pricing. Scout democratizes predictive intelligence — offering data-driven marketing capabilities once reserved for banks and national brokerages.

The Real Differentiator: From Static Data to Predictive Action

Legacy data companies built the map.

Scout adds motion to it.

By layering AI-driven segmentation, life-event tagging, and behavioral monitoring on top of legally aggregated data, Scout predicts who will take action — and helps users reach them first.

• Demographic Segmentation: Family stage, income tier, occupation, and homeownership status.

• Life-Event Tagging: Kids leaving home, marriage, job changes, aging-in-place indicators.

• Behavioral Monitoring: Email engagement, intent signals, property interest.

• CRM Enrichment: Instantly fills gaps in your existing database.

The past 20 years of real estate data revolved around ownership and access.

The next 20 will revolve around prediction and activation.

Cotality connects listings.

ATTOM anchors truth.

Verisk models risk.

Cole lists households.

ICE powers the finance rails.

Scout connects it all to the human signal — turning data into action and powering AI/workflow-based infrastructure.

Curious how Scout’s predictive segmentation and enrichment can power your business? Learn more at trustscout.com.