# Tree Canopy Observations — Record Quality Audit + Daily Sum Series

> Tree Canopy Observations — Record Quality Audit + 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 2026-10-25).

Runs two analytical reports on supplied tree canopy observation data: a record quality audit and a daily sum series, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-17-009?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tree-canopy-observations-record-quality-audit-daily-sum-series-d81c503c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4q6jkehJkDbJvuzP8zL87

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-record-quality-audit-daily-sum-series-d81c503c -d '<json body>'
```

Example prompt: Can you run a record quality audit and daily sum series on my tree canopy observations? I have rows with date, row_id, station_group, canopy_m2, and plot_m2 — here are 4 records from group-a and group-b across October 2026, and I want the report focused on canopy_m2.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a daily sum series on tree canopy or plot area observation data in a single low-cost call. It is ideal for environmental data pipelines where you want to validate record integrity and produce daily aggregates simultaneously, without requiring any external data sources or live lookups. Best suited for batch sizes up to 200 rows per call.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — input rejected
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Payment not provided or insufficient — 402 payment required
- Numeric values outside allowed range (-1e12 to 1e12) — schema validation failure

## How this service works

Tree canopy observations — Record quality audit + Daily sum series: Record quality audit + 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

Returns two independent analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range entries, or malformed records across the supplied rows; and (2) a daily sum series aggregating the selected field (canopy_m2 or plot_m2) by date across all supplied records. Both reports are computed locally without 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tree-canopy-observations-record-quality-audit-daily-sum-series-d81c503c/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)