# Tree Canopy Observations — IQR Outlier Flags + Two-Measure Correlation

> Tree Canopy Observations — IQR Outlier Flags + 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 2026-10-28).

Runs IQR-based outlier detection and two-measure correlation analysis on supplied tree canopy observation records (canopy_m2 and plot_m2) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-17-176?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tree-canopy-observations-iqr-outlier-flags-two-measure-correlation-864662aa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_j7Foxi5D9pWUHbfMd41Ye

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-iqr-outlier-flags-two-measure-correlation-864662aa -d '<json body>'
```

Example prompt: I have 150 tree canopy observation records with canopy_m2 and plot_m2 measurements across several station groups — can you run IQR outlier detection on the canopy_m2 field and also compute the correlation between canopy_m2 and plot_m2 for me?

## When to prefer this

Choose this endpoint when you have tree canopy observation data (canopy_m2, plot_m2) and need both IQR-based outlier detection and a cross-measure correlation analysis in a single paid call. It is purpose-built for environmental/forestry datasets up to 200 rows and delivers two bundled statistical reports for $0.01 USDC. Prefer this over general-purpose analytics APIs when your data specifically includes canopy and plot area measurements organized by station group and date.

## Known failure modes

- Empty or missing rows array returns validation error
- More than 200 rows submitted triggers a row-count limit error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both canopy_m2 and plot_m2 across all rows may produce degenerate correlation output
- Invalid field enum value returns a schema validation error
- Fewer than 3 non-null rows may produce unreliable IQR or correlation statistics

## How this service works

Tree canopy observations — IQR outlier flags + Two-measure correlation: IQR outlier flags + 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 for the supplied dataset: (1) an IQR outlier flags report identifying which rows have canopy_m2 or plot_m2 values outside the interquartile range, and (2) a two-measure correlation report quantifying the relationship between canopy_m2 and plot_m2 across all supplied rows. No external data is fetched; analysis is performed locally on the submitted records 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-iqr-outlier-flags-two-measure-correlation-864662aa/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)