Real estate data in the US is fragmented and hard to source in clean, structured formats without expensive enterprise contracts or full MLS access.

Existing APIs either require expensive enterprise contracts, lack nationwide coverage, or provide aggregated summaries instead of raw structured data for building tools.

Opp. Score

Severity

4High

Willingness to Pay

implied

Added

May 7, 2026

Workarounds Described

stitching together multiple datasets manually
relying on public records directly

Implied Software Gaps

A unified, affordable API that combines multiple real estate data sources into one clean feed

App Concept

DataMerge Housing

A unified API that aggregates, cleans, and enriches real estate data from public records, MLS, and multiple paid sources into a single, affordable stream. Offers flexible pricing for small teams and individual analysts without requiring enterprise contracts.

Key Features

Unified API with nationwide property data
Structured fields (price, tax history, square footage, etc.)
Data enrichment (e.g., school ratings, flood risk)
Tiered pricing: free tier (limited queries), pro tier ($99/mo with 10k queries)
CSV/JSON export for analysis

Target Users: Small real estate investment firms and independent app developers in the US

Revenue Model: Freemium with $99/mo Pro tier and $499/mo Enterprise tier

Existing Solutions Mentioned

Zillow APIHomesageAIAttom datapublic records

Part of App Idea

DataTrust Real Estate Analytics

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