bds.chat gives your product a standardized API for HCMC listings, NQ 87/2025 state land prices, data-trust grades, planning signals, risk flags, and scoped listing chat.
Prices, locations, property types, ownership details, and source fields vary across agents and platforms. Every product team ends up rebuilding the same normalization layer before they can ship anything useful.
An asking price means little without state land-price references, planning signals, boundary data, coordinate quality, and provenance. Without those signals, your platform cannot explain what users should compare or verify.
A chatbot over messy listings can sound certain without evidence. Your users need answers grounded in structured listing data, cited sources, and visible gaps.
Select a listing, review its trust report, compare the asking price to state land-price records, then ask a scoped AI question grounded only in that listing.
api.bds.chat exposes 24 documented routes with OpenAPI 3.1 coverage and interactive Scalar docs.
The platform currently contains 500+ normalized HCMC listings and 30,771 state land-price records.
Trust reports include subscores, blocking risk flags, data gaps, provenance, source status, and warnings instead of hiding uncertainty.
Use bds.chat as your API layer for HCMC listings, NQ 87/2025 state land-price context, data-trust grades, risk flags, and cited listing chat.
Building buyer tools? Connect them through the API or AI assistant demo. Test ChatGPT Demo→