# Tree Canopy Observations — Grouped Numeric Summary + Daily Sum Series

> Tree Canopy Observations — Grouped Numeric Summary + Daily Sum 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).

Analyzes up to 200 tree canopy observation records, returning a grouped numeric summary and a daily sum time series for canopy_m2 or plot_m2 fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-17-089?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-daily-sum-series-59ff0e10
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_blMRwRytX9thccpuG_nmd

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-daily-sum-series-59ff0e10 -d '<json body>'
```

Example prompt: I have tree canopy survey records with columns row_id, station_group, date, canopy_m2, and plot_m2 — can you give me a grouped numeric summary and daily sum series for canopy_m2 across up to 200 rows?

## When to prefer this

Use this endpoint when you have raw tree canopy observation records (with canopy_m2 and plot_m2 measurements per station group and date) and need both a group-level statistical summary and a date-level daily sum series in a single call at minimal cost. Prefer this over generic analytics tools when working within the x402 micropayment ecosystem and when batch size is under 200 rows. Choose the sibling 'Exact row deduplication + Grouped numeric summary' endpoint instead if deduplication is your primary concern rather than time series output.

## Known failure modes

- Input array is empty or missing required fields (row_id, station_group, date, canopy_m2, plot_m2) — validation error returned
- More than 200 rows submitted — request rejected with max-items error
- Date values not matching YYYY-MM-DD format — pattern validation failure
- Non-numeric values in canopy_m2 or plot_m2 where number expected — type error
- Invalid field selector (not 'canopy_m2' or 'plot_m2') — enum validation error
- Payment not attached or insufficient — x402 payment required response

## How this service works

Tree canopy observations — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum 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

Two analytical reports: (1) a grouped numeric summary aggregating canopy_m2 or plot_m2 statistics (e.g. count, mean, min, max, sum) broken down by station_group, and (2) a daily sum time series showing the total of the selected field per date across all records. Both reports are computed locally from the supplied rows with no external data 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tree-canopy-observations-grouped-numeric-summary-daily-sum-series-59ff0e10/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)