# Building Footprint Observations — Grouped Numeric Summary + Numeric Interval Filter

> Building Footprint 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 2026-10-24).

Computes grouped numeric summary statistics and applies a numeric interval filter on user-supplied building footprint (footprint_m2, height_m) observation records, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-16-088?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-grouped-numeric-summary-numeric-d3f3d57e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JoLEk_O6-cgFps97XAk_u

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-grouped-numeric-summary-numeric-d3f3d57e -d '<json body>'
```

Example prompt: I have 4 building observation records with footprint_m2 and height_m values across groups A and B — can you group them by station_group and compute a numeric summary for footprint_m2, filtering to only rows where footprint_m2 is between 0 and 100?

## When to prefer this

Use this endpoint when you have up to 200 user-supplied building footprint observation records and need both grouped summary statistics and a numeric range filter on either footprint_m2 or height_m in a single call. It is ideal for lightweight, offline analytical tasks on building datasets without needing a full data pipeline or live external data source. Prefer this over general-purpose analytics tools when cost efficiency ($0.01 for 2 reports) and simplicity matter and the dataset fits within the 200-row limit.

## Known failure modes

- Empty rows array or missing required fields (row_id, station_group, date, footprint_m2, height_m) returns a validation error
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Invalid field enum value (not footprint_m2 or height_m) causes error
- Minimum value greater than maximum value may return empty interval filter results

## How this service works

Building footprint observations — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter 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 up to 2 analytical reports: a grouped numeric summary (e.g. count, mean, min, max, std) of the chosen field broken down by station_group, and a numeric interval filter result showing which rows fall within the specified minimum–maximum range for the selected field (footprint_m2 or height_m). All computation is performed locally on the supplied 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"
  },
  "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/building-footprint-observations-grouped-numeric-summary-numeric-d3f3d57e/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)