# SG Property Data — Condo Project Price Stats

> 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.

## Facts

- Endpoint: GET https://sgpropertydata.com/private/condo/projects/%7Bproject%7D/stats
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-08
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sg-property-data-condo-project-price-stats-24045238
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__baEsGW_Y7SIo9dM5Poho

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability sg-property-data-condo-project-price-stats-24045238
```

Example prompt: What's the price trend and CAGR for the condo project 'The Sail @ Marina Bay' in Singapore — I want to see the median PSF, yearly breakdown, and how confident the data is?

## When to prefer this

Use 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.

## Known failure modes

- Project name not found or misspelled — returns 404 or empty result
- Insufficient transaction history for a project — CAGR confidence may be 'low' or data may be sparse
- Payment failure (x402) — endpoint requires $0.005 USDC per call; missing or invalid payment returns 402
- Rate limiting if too many calls are made in succession
- Ambiguous project name matching multiple developments — may return wrong project stats

## 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: 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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
   }
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sg-property-data-condo-project-price-stats-24045238/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from sgpropertydata.com](https://www.zero.xyz/host/sgpropertydata.com/llms.txt)