RealEstateAPI.com

RealEstateAPI.com — A daily-diff MLS listing stream exposed as discrete, high-velocity change-capture jobs rather than as a static snapshot. The documented update endpoints are the product: newly listed properties (completing in 10-15 seconds per day), newly sold listings (1-2 seconds per day), all updated listings (1-2 minutes per day), listing price changes split into drops and hikes (under 1 second per day), and listing status transitions such as active to pending. Alongside the diff layer sits a Starter base dataset with autocomplete, property detail and property search endpoints, plus en…

RealEstateAPI.com offers (Alternative, Reference, Geospatial) — Coverage-bound: a national MLS-derived base dataset behind the Starter endpoints, with daily diff jobs stated to complete in seconds to low minutes per run — runtimes that imply a change volume in the hundreds of thousands to millions of listing events per day across the covered footprint rather than a regional feed. The retained per-listing change history (queryable by price-change date) compounds daily, so the historical event log is the fastest-growing part of the asset..

Week-over-week and daily inventory-count panels for housing analytics products built from the new-listing and sold diffs rather than from snapshot differencing; price-cut detection and motivated-seller sourcing for investors from the price-change stream; absorption and months-of-supply metrics from new-listing versus sold rates; status-transition and failed-sale research (withdrawn and expired rates as a market-health indicator, largely invisible elsewhere); days-on-market and relist-fatigue analytics; AVM refresh triggers that fire on a price or status event rather than on a schedule; event-stream feature feeds for housing models — the transition log is a genuinely labelled event corpus for training time-to-sale and price-cut-propensity models; and real-time tool-grounding for AI real-estate agents through the MCP layer.

The data is with 5 years of history.