# Field Survey Coverage Record Quality Audit and Adjacent Row Changes

> Field Survey Coverage Record Quality Audit and Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Audits record quality and detects adjacent row changes in field survey coverage data (surveyed_m2, target_m2) for up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-22-011?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/field-survey-coverage-record-quality-audit-and-adjacent-row-changes-7d8e3d90
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BKlLXiLdek1VBHpzvvlA8

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-record-quality-audit-and-adjacent-row-changes-7d8e3d90 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row change analysis on my field survey coverage data? I have rows with row_id, station_group, date, surveyed_m2, and target_m2 fields — here are up to 200 rows — and I want the analysis on the surveyed_m2 field.

## When to prefer this

Choose this endpoint when you have tabular field survey coverage records with surveyed_m2 and target_m2 measurements and need two specific analytical outputs — a quality audit plus adjacent row change detection — in a single low-cost call. It is ideal for preprocessing survey datasets before aggregation or reporting, and when you do not need live data, predictions, or external lookups. Best suited for batches of up to 200 rows at $0.01 USDC per call.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field selector (not surveyed_m2 or target_m2) — enum rejection
- All values null — audit report may return minimal or empty findings
- Payment not included or insufficient — x402 payment required error

## How this service works

Field survey coverage — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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

Two independent analytical reports per call: (1) a record quality audit identifying issues such as missing values, nulls, or out-of-range entries in the selected field (surveyed_m2 or target_m2), and (2) an adjacent row changes report flagging where consecutive rows show value changes. Results are computed locally from supplied 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-record-quality-audit-and-adjacent-row-changes-7d8e3d90/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)