# Land Parcel Observations — Grouped Numeric Summary + Numeric Interval Filter

> Land Parcel Observations — Grouped Numeric Summary + Numeric Interval Filter 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 grouped numeric summary statistics and applies a numeric interval filter on land parcel observation records (area_m2, perimeter_m) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-14-088?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-grouped-numeric-summary-numeric-interval-b4deb595
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KWR9zgRz9JS09unYV6kGh

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-grouped-numeric-summary-numeric-interval-b4deb595 -d '<json body>'
```

Example prompt: I have 4 land parcel records with area_m2 and perimeter_m values across two station groups — can you give me a grouped numeric summary and also filter to only the parcels where area_m2 is between 0 and 100?

## When to prefer this

Choose this endpoint when you have pre-collected land parcel observation data (up to 200 rows) and need both grouped descriptive statistics and a numeric range filter in a single call without any external data lookup or live geospatial query. It is ideal for lightweight, offline analytical summarization of parcel datasets where you control the input rows and need fast, deterministic results at low cost.

## Known failure modes

- Empty rows array returns validation error
- More than 200 rows submitted exceeds limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- minimum greater than maximum produces empty interval filter result
- Null values in area_m2 or perimeter_m may be excluded from numeric computations
- Missing required fields (row_id, station_group, date) cause row-level rejection

## How this service works

Land parcel observations — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter 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 grouped numeric summary (e.g. count, mean, min, max) of the selected field broken down by station_group, and (2) a filtered subset of rows where the selected numeric field (area_m2 or perimeter_m) falls within the specified minimum–maximum interval.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/land-parcel-observations-grouped-numeric-summary-numeric-interval-b4deb595/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)