# Tree Canopy Observations — Grouped Numeric Summary + Trailing Mean Series

> Tree Canopy Observations — Grouped Numeric Summary + 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 2026-10-26).

Computes a grouped numeric summary and a trailing mean time series for tree canopy observation records (canopy_m2, plot_m2) using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-17-090?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tree-canopy-observations-grouped-numeric-summary-trailing-mean-series-c3fab210
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E5VL1WZeqGQPRRv3lVZzV

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 tree-canopy-observations-grouped-numeric-summary-trailing-mean-series-c3fab210 -d '<json body>'
```

Example prompt: I have 4 tree canopy observation records with station groups and dates — can you compute a grouped numeric summary and a trailing mean series for the canopy_m2 field using a rolling window of 3?

## When to prefer this

Choose this endpoint when you need both a grouped statistical summary and a rolling mean time series for tree canopy or plot area data in a single call, without needing live data lookups, predictions, or external integrations. It is ideal for forestry analysts, urban planners, or ecologists who already have observation records and want quick descriptive analytics and trend smoothing on up to 200 rows at a very low cost ($0.01 USDC for both reports).

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Window size less than 2 or greater than 200 is rejected
- Null values in the target field may reduce the effective trailing mean sample size
- Payment not attached or insufficient USDC balance causes 402 error

## How this service works

Tree canopy observations — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series for supplied tree canopy observations records (canopy_m2, plot_m2). 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, std) of the selected field broken out by station_group, and (2) a trailing mean time series computed over the specified rolling window for the selected field (canopy_m2 or plot_m2). Results are derived entirely from supplied data using local engines with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "canopy_m2",
     "plot_m2"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "plot_m2": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "canopy_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",
     "plot_m2": 1,
     "canopy_m2": 10,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "plot_m2": 2,
     "canopy_m2": 20,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "plot_m2": 3,
     "canopy_m2": 15,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "plot_m2": 4,
     "canopy_m2": 30,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "canopy_m2",
    "plot_m2"
   ],
   "type": "string",
   "default": "canopy_m2"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tree-canopy-observations-grouped-numeric-summary-trailing-mean-series-c3fab210/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)