# Land Parcel Observations — Record Quality Audit + Numeric Row Ordering

> Land Parcel Observations — Record Quality Audit + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Audits data quality and applies numeric row ordering to land parcel observation records (area_m2, perimeter_m) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-14-007?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/land-parcel-observations-record-quality-audit-numeric-row-ordering-5f863255
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_F270CTfmvTIrnqEcmdYtF

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 land-parcel-observations-record-quality-audit-numeric-row-ordering-5f863255 -d '<json body>'
```

Example prompt: Can you run a record quality audit and numeric row ordering on my land parcel dataset? I have up to 50 rows with area_m2 and perimeter_m values grouped by station_group, and I want to order by area_m2.

## When to prefer this

Choose this endpoint when you need both a data quality audit and numeric ordering on land parcel area/perimeter data in a single low-cost call. Ideal for preprocessing geospatial or real estate datasets before downstream analysis, when you have up to 200 rows and only need local computation with no live data lookups or external enrichment.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, station_group, date, area_m2, perimeter_m) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- row_id or station_group exceeds 80-character max length
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Empty rows array (minItems: 1 not met)
- Invalid field selector — must be 'area_m2' or 'perimeter_m'

## How this service works

Land parcel observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied land parcel observations records (area_m2, perimeter_m). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or anomalies in the area_m2 and perimeter_m fields; and (2) a numeric row ordering report ranking all supplied rows by the selected field (area_m2 or perimeter_m). Both reports are generated locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "area_m2",
     "perimeter_m"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "area_m2": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "perimeter_m": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "area_m2": 10,
     "perimeter_m": 1,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "area_m2": 20,
     "perimeter_m": 2,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "area_m2": 15,
     "perimeter_m": 3,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "area_m2": 30,
     "perimeter_m": 4,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "area_m2",
    "perimeter_m"
   ],
   "type": "string",
   "default": "area_m2"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/land-parcel-observations-record-quality-audit-numeric-row-ordering-5f863255/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)