# Land Parcel Observations — Category Frequencies + Two-Measure Correlation

> Land Parcel Observations — Category Frequencies + Two-Measure Correlation 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).

Computes category frequency counts and Pearson/Spearman correlation between area_m2 and perimeter_m for up to 200 supplied land parcel observation rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-14-108?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-category-frequencies-two-measure-correlation-52e3462f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1YVTKgQtoFgC9cKICXirx

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-category-frequencies-two-measure-correlation-52e3462f -d '<json body>'
```

Example prompt: Can you analyze these 150 land parcel records — compute the frequency of each station_group category and also calculate the correlation between area_m2 and perimeter_m? The rows have fields: row_id, station_group, date, area_m2, and perimeter_m.

## When to prefer this

Choose this endpoint when you have pre-collected land parcel observation data (up to 200 rows) and need both a categorical frequency breakdown and a two-variable numeric correlation in a single API call at minimal cost. It is ideal for offline/batch statistical QA on parcel datasets where no live data lookup, geospatial enrichment, or external prediction is needed.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, station_group, date, area_m2, perimeter_m) cause validation errors
- All-null values in area_m2 or perimeter_m prevent correlation computation
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Payment of 0.01 USDC not provided or x402 protocol failure blocks the call

## How this service works

Land parcel observations — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 frequency table showing how many rows belong to each station_group category, and (2) a correlation metric (e.g. Pearson r) between the area_m2 and perimeter_m numeric columns, computed locally without any external data lookup or prediction.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/land-parcel-observations-category-frequencies-two-measure-correlation-52e3462f/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)