# Field Survey Coverage Numeric Distribution and Two-Measure Correlation

> Field Survey Coverage Numeric Distribution and 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 2026-10-24).

Computes numeric distribution statistics and two-measure correlation for field survey coverage data (surveyed_m2 vs target_m2) on up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-22-081?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/field-survey-coverage-numeric-distribution-and-two-measure-correlation-27df2561
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FX2mduPF-eA53Ks3rJoda

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 field-survey-coverage-numeric-distribution-and-two-measure-correlation-27df2561 -d '<json body>'
```

Example prompt: I have field survey coverage records with surveyed_m2 and target_m2 for up to 150 rows across several station groups — can you run a numeric distribution analysis on the surveyed_m2 field and also compute the correlation between surveyed_m2 and target_m2 across all those rows?

## When to prefer this

Choose this endpoint when you have field survey coverage data with surveyed_m2 and target_m2 measurements and need both a distribution summary of one measure and a correlation between the two measures in a single API call. It is ideal for ecological, environmental, or land-use survey datasets with up to 200 records. Prefer this over generic stats tools when you want two bundled analytical reports (distribution + correlation) in one low-cost call without any external data enrichment or prediction.

## Known failure modes

- Input array exceeds 200 rows — endpoint rejects with validation error
- Missing required fields (row_id, date, surveyed_m2, target_m2) in any row causes schema validation failure
- Date field not matching YYYY-MM-DD pattern results in rejection
- Null values in both numeric fields for all rows may produce undefined correlation
- Single-row input prevents meaningful correlation computation
- Invalid field enum value (not surveyed_m2 or target_m2) causes request rejection

## How this service works

Field survey coverage — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation for supplied field survey coverage records (surveyed_m2, target_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 numeric distribution summary for the selected field (surveyed_m2 or target_m2), including statistics such as mean, median, standard deviation, min, max, and histogram-style breakdown; and (2) a correlation report measuring the linear relationship between surveyed_m2 and target_m2 across the supplied rows. Both reports are computed locally from the provided data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "surveyed_m2",
     "target_m2"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "target_m2": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "surveyed_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",
     "target_m2": 1,
     "surveyed_m2": 10,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "target_m2": 2,
     "surveyed_m2": 20,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "target_m2": 3,
     "surveyed_m2": 15,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "target_m2": 4,
     "surveyed_m2": 30,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "surveyed_m2",
    "target_m2"
   ],
   "type": "string",
   "default": "surveyed_m2"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/field-survey-coverage-numeric-distribution-and-two-measure-correlation-27df2561/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)