SG Property Data — Condo Project Price Stats is a paid API for AI agents from sgpropertydata.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-08).
Returns calculated price statistics (CAGR, PSF quartiles, median, YoY trends) for a specific Singapore private condo project, derived from URA transaction records.
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.
A JSON object containing: CAGR (annualized appreciation rate with confidence level), a price snapshot with median PSF, P25 PSF, P75 PSF, and transaction count, plus a yearly breakdown showing median PSF and year-over-year percentage change for each year in the dataset.
GEThttps://sgpropertydata.com/private/condo/projects/%7Bproject%7D/statsUse this endpoint when you need pre-computed, ready-to-use price analytics (CAGR, PSF quartiles, YoY trends) for a specific Singapore private condo project by name, rather than raw transaction data you would need to process yourself. Ideal for investment research, property comparison, or agent-driven property advisory tasks. Prefer this over raw URA data APIs when you want derived metrics without building your own analytics pipeline.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"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
}
]
}
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