ATTOM alternatives for commercial real estate

Built for lenders, insurers, and underwriting teams that need property, valuation, and hazard-risk data via API at scale — CoreLogic's Spatial Web Services is genuinely deep, particularly for flood/wildfire/climate risk layered onto property records. This is enterprise data infrastructure requiring integration work, not a browsable tool, so a small acquisitions team wanting quick one-off property lookups will find it disproportionate; that use case is better served by a lighter, self-serve data API.

Fits proptech developers and data teams needing programmatic access to property, parcel, and sales-history data across 140M+ US properties, spanning residential and commercial — usage-based pricing makes it more accessible for smaller-scale API consumption than flat enterprise contracts from CoreLogic or ATTOM. It's raw data infrastructure requiring engineering integration, not a browsable research tool, so non-technical acquisition teams looking for a UI-driven comps tool should look elsewhere.

Built for lenders, title companies, and data-driven acquisition teams needing parcel, ownership, HOA, lien, and foreclosure data via API or bulk license — DataTree's specific strength is in title-adjacent and distressed-property data that generalist property-data APIs cover less deeply. Enterprise pricing and a data-infrastructure delivery model (not a browsable app) mean this is for teams with engineering resources to integrate it, not for a small acquisitions team wanting quick lookups.

Aimed at multifamily investors, lenders, and analysts wanting AI-powered comps and market analytics without the enterprise overhead of legacy data providers — a newer entrant competing on speed and accessibility versus incumbents like CoStar or Yardi Matrix. Without published pricing, expect a sales conversation, and given it's a newer AI-native product, validate comp accuracy against a known market before trusting it for a live underwriting decision; it's multifamily-only, so no relevance for other asset classes.

Buyer: data and engineering teams at brokerages, lenders, and PropTech companies building products on unified parcel-level data -- parcel, tax, zoning, environmental (EDR), and listings behind one persistent property ID. Strength: the breadth of data types unified under a single API is genuinely rare in this market. Caveat: enterprise pricing and API-first design mean it's overkill for an analyst who just needs an occasional zoning lookup -- that's a browse-the-website job, not an integration project.

Buyer: GIS teams, data platforms, and PropTech companies needing broad, current parcel boundary, ownership, and zoning data via API -- especially those already in the Esri ecosystem, given the commercial partnership. Strength: the Esri partnership signals genuinely broad and well-maintained national coverage across the US and Canada. Caveat: this is raw data infrastructure, not an end-user analysis tool -- useful to a data/engineering team, not directly useful to an analyst who just wants a finished report, where LightBox layers more on top.

CREXi Intelligence is CREXi's paid data-subscription tier for brokers, investors, and appraisers who need nationwide property records, sales comps, ownership data, and demographic/traffic-count map overlays beyond what the free CREXi marketplace listing site provides. It's a market-data and comps tool, not a transaction/due-diligence platform — closer to a CoStar-lite than to a document analysis tool. Sits alongside CREXi's free marketplace, Listing PRO, and Enterprise PRO tiers.

Developer-facing property data API (search, detail, comps, parcel boundaries, autocomplete, skip tracing) covering ~159M US properties — built for proptech/fintech startups and internal tools teams that want to build search/comp features rather than license a finished front-end product. Not a CRE analyst-facing tool itself; it's plumbing other CRE software is often built on.

Self-serve rent/valuation data API and dashboard aimed at individual real estate investors and small-to-mid property managers, not institutional CRE data buyers. Coverage and messaging are residential-first (single-family rent comps, portfolio tracking); the site claims residential and commercial property coverage but no commercial-specific depth (comp sets, cap rates, etc.) was evidenced — treat the commercial claim as unverified.

A property-data API/enrichment layer (350+ attributes plus address verification and geocoding) that other software gets built on top of, not an end-user underwriting or CRE workflow tool itself. Buyers are engineering/data teams at insurers, lenders, and investment platforms doing bulk risk assessment or data enrichment, not individual CRE analysts working deal-by-deal.

Primarily a residential lead-generation product (predictive analytics to identify homeowners likely to sell) sold to residential agents and teams doing geographic farming — the input's "commercial" framing is not supported by the current site, which is entirely residential-agent-facing. Now operates under parent company Constellation1. Treat commercial applicability as unverified/likely minimal; this is not CRE-native infrastructure.