# Building Footprint Observations — Category Frequencies & Numeric Row Ordering

> Building Footprint Observations — Category Frequencies & 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 2026-10-24).

Computes category frequencies and numeric row ordering for up to 200 building footprint observation records (footprint_m2, height_m) using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-16-100?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/building-footprint-observations-category-frequencies-numeric-row-f40140d2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Lofud25QgflmAGtK6Mfy4

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 building-footprint-observations-category-frequencies-numeric-row-f40140d2 -d '<json body>'
```

Example prompt: Analyze these 4 building footprint records — row-1 (group-a, 2026-10-01, footprint 10 m², height 1 m), row-2 (group-b, 2026-10-02, footprint 20 m², height 2 m), row-3 (group-a, 2026-10-03, footprint 15 m², height 3 m), row-4 (group-b, 2026-10-04, footprint 30 m², height 4 m) — give me category frequencies for the station groups and numeric row ordering by footprint_m2.

## When to prefer this

Choose this endpoint when you have up to 200 building footprint observation records and need both a frequency count by categorical station group and a numeric ordering/ranking of rows by a numeric field (footprint_m2 or height_m). It is ideal for offline/local computation with no external dependencies, real-time lookups, or predictions — purely analytical reporting on supplied data at a low flat rate of $0.01 USDC for both reports together.

## Known failure modes

- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, station_group, date, footprint_m2, height_m) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- Invalid field selector (must be footprint_m2 or height_m) — enum error
- Empty rows array — minItems constraint violation
- Non-numeric values in footprint_m2 or height_m where number expected — type error

## How this service works

Building footprint observations — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering for supplied building footprint observations records (footprint_m2, height_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 for the supplied building footprint rows: (1) category frequency counts showing how often each station_group value appears, and (2) numeric row ordering ranked by the selected field (footprint_m2 or height_m). Both reports are computed locally without any external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "footprint_m2",
     "height_m"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "height_m": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "footprint_m2": {
      "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",
     "height_m": 1,
     "footprint_m2": 10,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "height_m": 2,
     "footprint_m2": 20,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "height_m": 3,
     "footprint_m2": 15,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "height_m": 4,
     "footprint_m2": 30,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "footprint_m2",
    "height_m"
   ],
   "type": "string",
   "default": "footprint_m2"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/building-footprint-observations-category-frequencies-numeric-row-f40140d2/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)