RealEstateAPI.com

REALESTATEAPI.COMManage supplier listing

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 endpoint families for searching by price-change date — meaning the vendor retains a per-listing change history queryable by event date, which is the durable asset. An MCP endpoint and an llms.txt index expose the same data to AI agents.

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Sample

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Coverage

Universe, instruments and categories.

Industry: Real Estate ServicesApplication Software
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Tabular JSON over documented REST endpoints with OpenAPI/Swagger schemas, published Postman collections, a machine-readable llms.txt documentation index and markdown versions of every page, an MCP server, an in-docs developer agent, rate-limit tiering, a public status page and a product changelog
Volume: 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.
Users: Est. hundreds to low thousands of developer accounts — an API-key self-serve model with rate-limit tiers, a public Discord community and published Postman collections, all developer-led acquisition surfaces that accumulate prototyping accounts before paid conversion; operated by roughly 8 staff in Herndon, Virginia with no recorded funding
History: 5 years
Update frequency: not stated
Growth: Active and shipping continuously — a public status page, a Featurebase changelog for product updates, a live Discord developer community, a published Postman collection set, and recently added AI-agent surfaces (an llms.txt index, markdown page renditions, an MCP server and an in-docs developer agent). The investment in agent-native access indicates an expanding rather than static product.
Launched: est. 2020-2022 — the corporate record post-dates older MLS-API resellers and the company remains at roughly 8 staff with no recorded funding, while the current documentation platform, Postman presence and agent-native features represent a second or third product generation built on an established base; a national MLS ingestion pipeline also requires a long build runway before a public API is credible
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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