Marketproof is more than what you see in our applications—it’s a powerful software platform working behind the scenes to collect, process, and refine real estate data. It integrates data from a variety of industry and public sources, using AI-driven automation alongside human verification to ensure that the information presented is accurate, complete, and insightful.
Built for Complex Markets
Real estate data is often fragmented, inconsistent, and difficult to interpret, especially in fast-moving urban markets with diverse property types and fluctuating values. A single neighborhood may include historic buildings alongside modern high-rises, each with distinct characteristics, pricing structures, and amenities. Additionally, market data is scattered across multiple sources, from government agencies and industry groups to private data providers, with no single standardized system.
To address this complexity, Marketproof structures real estate data at multiple levels, from individual buildings and units to broader geographic categories such as neighborhoods and cities. This ensures that the data reflects the true nature of the market, regardless of how it is reported by different sources.
Data Acquisition
Marketproof continuously gathers data from a broad range of sources, including:
Government agencies responsible for building regulations, planning, taxation, and public records
Industry organizations that manage property listings and transaction data
Private data providers offering insights on market trends, amenities, and infrastructure
Publicly available records related to zoning, transportation, environmental factors, and more
Marketproof also incorporates AI to extract valuable insights from documents that are traditionally difficult to access, such as scanned PDFs, legal filings, and regulatory reports. This allows key details to be structured and analyzed rather than remaining locked in unstructured formats. Human analysts review and validate key data points to ensure accuracy and reliability.
As real estate markets evolve, Marketproof continues to expand its data sources and refine its acquisition methods to ensure comprehensive coverage.
Data Normalization
Because real estate data comes from multiple sources, the same property is often referenced in different ways. Addresses, property details, and transaction records may be formatted inconsistently, making it difficult to track a property’s complete history.
For example:
An address might appear as "123 East Main Street" in one record, "123 E. Main St." in another, and under a completely different street number due to an alternate entrance.
Property details such as square footage, unit counts, or classifications can vary depending on whether the data comes from planning records, tax documents, or real estate listings.
A transaction might be recorded under different buyer names, show slight price variations due to closing adjustments, or lack key details in some datasets while being fully documented in others.
Marketproof reconciles these differences by standardizing formats, consolidating variations, and linking related records. This creates a unified, accurate representation of real-world properties, ensuring that users have a clear and consistent view of the market.
Data Enrichment
Beyond simply aggregating data, Marketproof enhances its dataset by establishing relationships between different pieces of information. This process includes:
Matching property listings with recorded sales to track full transaction cycles
Extracting and structuring data from regulatory filings, deeds, and financial statements
Calculating key market metrics, such as price per square foot and days on market
Identifying trends based on historical and real-time data
Associating properties with relevant location-based factors, such as school districts, transit access, and local amenities
These enhancements transform raw data into actionable insights, enabling more informed real estate decisions.
Delivering Actionable Insights
Once data has been ingested, normalized, and enriched, Marketproof organizes it into two categories:
Core data: Physical attributes, ownership records, transaction history, and other fundamental property details
Supporting data: Market trends, neighborhood characteristics, transportation access, and other contextual factors
By continuously refining and expanding its dataset, Marketproof provides a deep, evolving view of the real estate landscape.
Commitment to Data Quality
Marketproof is built to adapt and improve over time, leveraging both automated quality checks and expert analysis to maintain high data standards. Key dimensions of data quality include:
Accuracy: Ensuring that data reflects real-world conditions as precisely as possible
Consistency: Reducing duplication and resolving conflicts between different sources
Completeness: Capturing the full range of relevant details for each property
Coverage: Expanding datasets to include as many properties and transactions as possible
Timeliness: Keeping data up to date so that insights remain relevant and actionable
Ultimately, Marketproof operates seamlessly in the background, powering the insights and functionality that users experience in our applications. By combining AI-driven data processing with human verification and deep market expertise, it delivers the most accurate and comprehensive real estate intelligence available.