# Building Footprint Observations — Numeric Row Ordering + Trailing Mean Series

> Building Footprint 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 2026-10-30).

Computes numeric row ordering and trailing mean series for building footprint observation records (footprint_m2, height_m) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-16-115?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/building-footprint-observations-numeric-row-ordering-trailing-mean-f2f08b58
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TVjcuSYrbdytWo9J8zvNr

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-numeric-row-ordering-trailing-mean-f2f08b58 -d '<json body>'
```

Example prompt: I have 4 building footprint records with footprint_m2 and height_m values — can you rank them by numeric row order and compute a trailing mean series for footprint_m2 using a window of 2? The records are: row-1 group-a 2026-10-01 footprint=10 height=1, row-2 group-b 2026-10-02 footprint=20 height=2, row-3 group-a 2026-10-03 footprint=15 height=3, row-4 group-b 2026-10-04 footprint=30 height=4.

## When to prefer this

Choose this endpoint when you need both numeric row ordering and a trailing mean time series applied to building footprint observation data (footprint_m2 and/or height_m) in a single call for up to 200 rows, without requiring any external data lookups or live predictions. It is cost-effective at $0.01 USDC for two analytical reports simultaneously.

## Known failure modes

- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Window size smaller than 2 or larger than 200 is rejected
- Non-numeric values in footprint_m2 or height_m when null is not used cause type errors
- Missing required fields (row_id, station_group, date) cause schema validation failure
- Payment not provided or insufficient USDC results in 402 response

## How this service works

Building footprint observations — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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

Two analytical reports for the supplied building footprint dataset: (1) a numeric row ordering ranking each of the submitted records, and (2) a trailing mean series computed over the specified field (footprint_m2 or height_m) using the given window size — both derived locally from the submitted data with no 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/building-footprint-observations-numeric-row-ordering-trailing-mean-f2f08b58/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)