# Tree Canopy Observations — Grouped Numeric Summary + Two-Measure Correlation

> Tree Canopy Observations — Grouped Numeric Summary + Two-Measure Correlation 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 two-measure correlation (canopy_m2 vs plot_m2) from user-supplied tree canopy observation records using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-17-095?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-two-measure-3972c04b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wVi8evkClLac6fsjC2inc

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-two-measure-3972c04b -d '<json body>'
```

Example prompt: I have tree canopy survey records with canopy area and plot area for several station groups — can you run a grouped numeric summary and a canopy_m2-vs-plot_m2 correlation on these rows? I'll provide up to 50 records with row IDs, station groups, and dates.

## When to prefer this

Choose this endpoint when you have tree canopy observation records (with canopy_m2 and plot_m2 measurements) and need both a grouped descriptive summary by station and a correlation between the two numeric measures in a single paid call. It is ideal for environmental monitoring, urban forestry audits, or ecology research workflows where you supply your own data (up to 200 rows) and want local statistical computation without any external lookup or prediction.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit, request rejected
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) — validation error
- Malformed date format (must be YYYY-MM-DD) — schema validation failure
- All values null for correlation field — correlation computation returns undefined or NaN
- Invalid field enum value — schema rejection
- Payment not provided or insufficient USDC — 402 payment required

## How this service works

Tree canopy observations — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation 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 computed locally from the supplied rows: (1) a grouped numeric summary of the selected field (e.g. canopy_m2) broken down by station_group, including statistics such as mean, min, max, count, and standard deviation; and (2) a two-measure correlation report quantifying the statistical relationship between canopy_m2 and plot_m2 across all supplied records. No external data is fetched; analysis is performed on the provided dataset only.

## 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-two-measure-3972c04b/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)