Vietnam real estate intelligence API

Build Vietnam real estate features on a source-backed API.

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.

LIVE API DATALive at api.bds.chat|541 normalized HCMC listings|30,771 state land-price records|24 documented API routes|RESO, ISO 4217, ISO 3166-2, GeoJSON aligned

Vietnamese property data is hard to trust at API speed.

Listings are inconsistent.

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.

Market context is missing.

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.

AI answers are only as good as the data underneath.

A chatbot over messy listings can sound certain without evidence. Your users need answers grounded in structured listing data, cited sources, and visible gaps.

bds.chat solves the data layer first: standardize listings, attach official references, compute data-trust grades, expose gaps, and let AI answer only from structured, cited context.

One API layer for standardized real estate intelligence.

1
Standardized listing schema
Search real HCMC listings through a normalized API designed for interoperability. Fields align with international standards including RESO, ISO 4217, ISO 3166-2, and GeoJSON.
2
State Price Context
Compare your listings against 30,771 HCMC state land-price records from NQ 87/2025, with market-to-state ratios and citable provenance. Reference only, not a market valuation.
3
Transparent trust reports
Your platform can display an A-F data-trust grade, 9 risk subscores, 5 blocking risk flags, data coverage, warning flags, and source-level provenance for each listing.
4
Scoped listing chat
Add listing-scoped AI answers without building your own RAG pipeline. POST /listings/{id}/chat streams responses from structured listing data, with citations and visible limits.
Instead of building ingestion, schema normalization, government price matching, trust scoring, citation tracking, auth, rate limits, and streaming AI yourself, integrate the API layer already built for Vietnam real estate.
Start with the docs

Inspect a Trust Payload

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.

C
2 TỶ 180 SỞ HỮU 73M ĐẤT FULL THỔ, LIỀN KỀ HÀ HUY GIÁP, XÂY DỰNG NGAY, SỔ HỒNG RIÊNG
An Phú Đông, Quận 12, Hồ Chí Minh
Quality score 0.00
Data completeness
15/21 fields6 missing0 flagged
Risk subscores
Contradiction
0.00
Doc verification
0.00
Gov price ratio
0.00
Land type
0.00
Legal
0.00
Physical
0.00
Price outlier
0.00
Text risk
0.00
Trust
0.00
Risk flags
has_price
has_location
has_area
has_property_type
not_duplicate
Provenance

Production Evidence

Evidence 1

Live production API

api.bds.chat exposes 24 documented routes with OpenAPI 3.1 coverage and interactive Scalar docs.

Evidence 2

Real HCMC data foundation

The platform currently contains 500+ normalized HCMC listings and 30,771 state land-price records.

Evidence 3

Transparent by design

Trust reports include subscores, blocking risk flags, data gaps, provenance, source status, and warnings instead of hiding uncertainty.

Inspect the live docs

What Your Platform Can Build

In 5 minutes
Query normalized listings, inspect data-trust grades, and compare asking prices against NQ 87/2025 state land-price records.
In 1 day
Add trust reports to your listing pages, internal CRM, buyer tools, or agent workflow.
In 1 week
Launch buyer-facing listing checks with risk signals, planning references, provenance, and scoped AI Q&A.
At partner scale
Sync your inventory into bds.chat, enrich it through the standardized schema, and return structured listing intelligence to your users.
See developer flow

Need a Vietnam real estate data layer before you build the product surface?

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