# Tree Canopy Observations — Grouped Numeric Summary + Category Frequencies

> Tree Canopy Observations — Grouped Numeric Summary + Category Frequencies 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 grouped numeric summary statistics and category frequency distributions for up to 200 tree canopy observation records (canopy_m2, plot_m2) using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-17-086?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-category-frequencies-8e38a715
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TjQld5g_Qqc0Tqg6tGKgj

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-category-frequencies-8e38a715 -d '<json body>'
```

Example prompt: I have 4 tree canopy observation records — row-1 through row-4 from group-a and group-b, dated 2026-10-01 to 2026-10-04, with canopy_m2 values of 10, 20, 15, and 30 and plot_m2 values of 1, 2, 3, and 4 — can you give me a grouped numeric summary and category frequency breakdown for the canopy_m2 field?

## When to prefer this

Choose this endpoint when you have tabular tree canopy observation data (up to 200 rows) and need both grouped numeric statistics and category frequency distributions in a single call at low cost ($0.01 USDC). It is ideal for offline/batch analytical summarization of canopy survey data without requiring any live data lookup, prediction, or external integration. Prefer alternatives if you need more than 200 rows, live canopy data feeds, geospatial analysis, or predictive modeling.

## Known failure modes

- Exceeds 200 row limit — request rejected
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field enum value (not canopy_m2 or plot_m2) — rejected
- Empty rows array (minItems: 1 not met) — validation error
- Payment not included or insufficient USDC — 402 response

## How this service works

Tree canopy observations — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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 reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) for the selected field (canopy_m2 or plot_m2) broken down by station_group, and (2) category frequency counts showing how often each station_group appears in the dataset. Both reports are computed locally from the supplied rows with no external data access.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tree-canopy-observations-grouped-numeric-summary-category-frequencies-8e38a715/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)