# Land Use Observations — Numeric Row Ordering + Trailing Mean Series

> Land Use Observations — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Computes numeric row ordering and a trailing mean series for user-supplied land use observation records (area_hectares, parcel_count), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-22-115?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/land-use-observations-numeric-row-ordering-trailing-mean-series-cd05b00f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CJW9oJZ8EWN1q3C1IHKLk

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-use-observations-numeric-row-ordering-trailing-mean-series-cd05b00f -d '<json body>'
```

Example prompt: I have 4 land use records across two regions — group-a and group-b — with dates from 2026-10-01 to 2026-10-04, area_hectares values of 10, 20, 15, and 30, and parcel_counts of 1, 2, 3, and 4. Can you run a numeric row ordering and trailing mean series on the area_hectares field with a window of 2?

## When to prefer this

Choose this endpoint when you have user-supplied land use observation data and need both a numeric ranking of records and a trailing (rolling) mean time series for either area_hectares or parcel_count — all computed locally without any external lookup, prediction, or live data. Ideal for offline analytical pipelines, data exploration, or lightweight reporting on land datasets of up to 200 rows at minimal cost.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, region, date, area_hectares, parcel_count) cause validation errors
- Window size larger than number of rows yields insufficient data for trailing mean
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Null values in the target field may produce incomplete or null trailing mean entries

## How this service works

Land use observations — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series for supplied land use observations records (area_hectares, parcel_count). 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 numeric row ordering of the supplied records ranked by the chosen field, and (2) a trailing mean series computed over the specified window for the chosen field (area_hectares or parcel_count), applied to all rows up to the 200-row maximum.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/land-use-observations-numeric-row-ordering-trailing-mean-series-cd05b00f/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)