# Land Parcel Observations — Category Frequencies + Base-100 Series

> Land Parcel Observations — Category Frequencies + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).

Computes category frequency distributions and base-100 index series for user-supplied land parcel observation records (area and perimeter fields).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-14-105?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/land-parcel-observations-category-frequencies-base-100-series-e826303a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TLz3rx7RNuwLlJv-rYqc1

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-base-100-series-e826303a -d '<json body>'
```

Example prompt: Analyze these land parcel records for area_m2 — give me both the category frequency breakdown and a base-100 index series starting from row index 0: row-1 (2026-10-01, group-a, area=10, perimeter=1), row-2 (2026-10-02, group-b, area=20, perimeter=2), row-3 (2026-10-03, group-a, area=15, perimeter=3).

## When to prefer this

Choose this endpoint when you have tabular land parcel observation data (up to 200 rows) and need both a category frequency distribution and a base-100 normalized index series computed locally — without any live data lookup, external enrichment, or professional assessment. It is ideal for quick offline statistical summaries of surveying or GIS datasets where you control the input and just need two standard analytical reports for a flat $0.01 USDC fee.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, station_group, date, area_m2, perimeter_m) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index out of range (0–199) relative to actual row count causes an error
- Null values in area_m2 or perimeter_m may affect index calculations
- Payment not attached or insufficient USDC causes 402 response

## How this service works

Land parcel observations — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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 analytical reports: (1) a category frequency table showing how often different value ranges or categories appear in the selected field (area_m2 or perimeter_m) across the supplied rows, and (2) a base-100 index series anchored to the specified row, showing relative changes across the dataset. Up to 200 rows processed per call.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/land-parcel-observations-category-frequencies-base-100-series-e826303a/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)