# Tree Canopy Observations — Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram

> Tree Canopy Observations — Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram 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 three analytical reports on tree canopy observation records: a data quality audit, exact row deduplication, and an equal-width histogram over canopy_m2 or plot_m2 values.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-17-219?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-exact-row-deduplication-ae638114
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_f2cj6zKGYqv0TfbI7KRbL

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-exact-row-deduplication-ae638114 -d '<json body>'
```

Example prompt: Can you audit the quality of my tree canopy observation records, remove exact duplicate rows, and give me a 10-bin equal-width histogram over canopy_m2? I have about 50 rows from two station groups.

## When to prefer this

Choose this endpoint when you have up to 200 tree canopy observation records and need all three reports — quality audit, deduplication, and histogram — in a single low-cost call. It is ideal for pre-processing field survey data before downstream modeling or reporting, and requires no external connectivity or live data sources. Not suitable for real-time sensor streams, large datasets over 200 rows, or predictive modeling tasks.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required row fields (row_id, date, canopy_m2, plot_m2, station_group) — validation error
- Invalid date format (non-YYYY-MM-DD) — schema rejection
- Bins value outside 1–30 range — parameter error
- Payment not included or insufficient — x402 payment required response

## How this service works

Tree canopy observations — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied tree canopy observations records (canopy_m2, plot_m2). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values for each row; (2) a list of exact duplicate rows identified in the dataset; (3) an equal-width histogram of the selected numeric field (canopy_m2 or plot_m2) with the specified number of bins and per-bin counts.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-exact-row-deduplication-ae638114/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)