# Tree Canopy Observations — Base-100 Series & Secondary-Measure Weighted Mean

> Tree Canopy Observations — Base-100 Series & Secondary-Measure Weighted Mean 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).

Computes a Base-100 index series and a plot_m2-weighted mean for supplied tree canopy observation records (canopy_m2, plot_m2) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-17-166?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-base-100-series-secondary-measure-weighted-06f61807
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E81MP8dWJIY8MnuOo93i5

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-base-100-series-secondary-measure-weighted-06f61807 -d '<json body>'
```

Example prompt: I have canopy and plot area measurements for 12 tree monitoring stations across 4 groups — can you run a Base-100 index series starting from the first row and also give me the plot_m2-weighted mean for canopy_m2? Here are the rows: row-1 / group-north / 2025-03-01 / canopy_m2=450 / plot_m2=900, row-2 / group-north / 2025-04-01 / canopy_m2=480 / plot_m2=920, etc.

## When to prefer this

Choose this endpoint when you have raw tree canopy observation records (canopy area and plot area in m²) and need both a time-series Base-100 normalization and a plot-area-weighted aggregate in a single call. It is particularly well-suited for ecological, forestry, or urban greening analyses where relative indexing and weighted summarization of canopy coverage data are needed without external data sources or predictions.

## Known failure modes

- Rows exceeding 200 items will be rejected — keep input within maxItems limit
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) will cause validation errors
- Invalid date format (must be YYYY-MM-DD) will fail schema validation
- base_index out of range (must be 0–199 and within submitted row count) will cause errors
- Null values for canopy_m2 or plot_m2 may affect weighted mean computation
- Payment failure or insufficient USDC balance will block the request

## How this service works

Tree canopy observations — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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: (1) a Base-100 index series normalizing the chosen field (canopy_m2 or plot_m2) relative to the specified base_index row, showing relative change per row; and (2) a secondary-measure weighted mean where each row's value is weighted by the complementary field. Results cover all submitted rows (up to 200) and 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tree-canopy-observations-base-100-series-secondary-measure-weighted-06f61807/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)