# SG Property Data — Condo Market Segment Price Stats

> SG Property Data — Condo Market Segment 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 metrics (median PSF, CAGR, quartiles, YoY change) for a specified Singapore private condo market segment (CCR, RCR, or OCR)

## Facts

- Endpoint: GET https://sgpropertydata.com/private/condo/segments/%7Bsegment%7D/stats
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sg-property-data-condo-market-segment-price-stats-00ec3e75
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WF6eIIyA4RFtVDmQqeMP9

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-market-segment-price-stats-00ec3e75
```

Example prompt: What are the current price stats for freehold condos in Singapore's CCR — give me the median PSF, CAGR, and year-over-year change?

## When to prefer this

Use this endpoint when you need aggregated, computed price metrics (CAGR, median PSF, quartiles) at the Singapore condo market-segment level (CCR/RCR/OCR) rather than raw transaction data or project-level stats. Prefer this over district-level or project-level endpoints when the user wants a broad market-segment view. Best for investment analysis, trend comparison, and benchmarking across the three major Singapore condo zones.

## Known failure modes

- Invalid segment value (not CCR, RCR, or OCR) — likely 400 or 404 response
- Invalid tenure enum value — defaults to ALL or returns error
- No transaction data available for the specified segment/tenure combination — empty or null statistics
- Payment failure or insufficient USDC balance — 402 response blocking access
- Segment parameter missing from path — malformed request error

## 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 (percent per year with confidence rating), a snapshot with median PSF, p25 PSF, p75 PSF, and transaction count, and a yearly breakdown array showing median PSF and YoY change percentage for each year.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "pathParams": {
     "type": "object",
     "required": [
      "segment"
     ],
     "properties": {
      "segment": {
       "type": "string",
       "description": "CCR, RCR, or OCR"
      }
     }
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "tenure": {
       "enum": [
        "ALL",
        "Freehold",
        "Freehold-equivalent",
        "Leasehold"
       ],
       "type": "string",
       "description": "Defaults to ALL (blended across tenures) if omitted"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## 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-market-segment-price-stats-00ec3e75/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)