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SG Property Data — Condo District Price Stats
x402
SG Property Data — Condo District Price Stats is a paid API for AI agents from sgpropertydata.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Returns computed price statistics (median PSF, percentiles, CAGR, YoY trends) for Singapore private condo properties within a specified postal district, optionally filtered by tenure type.
Price / call$0.005
Success—
StatusUnknown
How this service works
District, market-segment, town, and project-level price trends, CAGR, and rental yield for Singapore private residential property (condo and landed) and HDB resale flats, computed from URA and HDB records. REST and MCP access, priced per call for AI agents.
Output
A JSON object containing: a snapshot with median, p25, and p75 price-per-square-foot (PSF) values and transaction count; a CAGR figure with confidence level and unit (percent per year); and a yearly breakdown array showing median PSF and YoY percentage change per year — all scoped to the requested district and optional tenure filter.
Example use cases
Example prompt
“What are the current price stats for freehold condos in Singapore district 10 — specifically the median PSF, CAGR, and how prices have changed year over year?”
Technical details
Endpoint
GEThttps://sgpropertydata.com/private/condo/districts/%7Bdistrict%7D/statsWhen to prefer
Use this endpoint when you need computed, ready-to-use price metrics (CAGR, percentiles, YoY trends) for Singapore private condo properties at the district level, rather than raw transaction records. Prefer this over project-level endpoints when doing district-wide market benchmarking or investment return analysis across geographic zones.
Side effects
- Invalid or non-existent district code returns 404 or empty result
- District with insufficient transaction volume may return low-confidence CAGR
- Unsupported tenure enum value returns 400 validation error
- Payment failure (insufficient USDC balance) returns 402 Payment Required
- Network timeout on computation-heavy historical aggregation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"cagr": {
"unit": "percent_per_year",
"value": 4.8,
"confidence": "high"
},
"snapshot": {
"p25_psf": 2240,
"p75_psf": 2510,
"median_psf": 2387.5,
"transaction_count": 41
},
"yearly_breakdown": [
{
"year": 2025,
"median_psf": 2387.5,
"yoy_change_pct": 4.2
}
]
}
}Tags
x402
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