# Field Survey Coverage — Exact Row Deduplication + Numeric Row Ordering

> Field Survey Coverage — Exact Row Deduplication + Numeric Row Ordering 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).

Deduplicates and numerically orders field survey coverage records (surveyed_m2, target_m2) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-22-042?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/field-survey-coverage-exact-row-deduplication-numeric-row-ordering-a2dbe68b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9PaKh7Zvl6wvl6PaH0CZw

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-exact-row-deduplication-numeric-row-ordering-a2dbe68b -d '<json body>'
```

Example prompt: Can you deduplicate and numerically order these field survey coverage records — I have rows with row_id, station_group, date, surveyed_m2, and target_m2 values — and give me both analytical reports? I want to process the surveyed_m2 field across up to 200 rows.

## When to prefer this

Choose this endpoint when you need to clean and order field survey coverage records (with surveyed_m2 and target_m2 metrics) by removing exact duplicate rows and applying numeric ordering, and want two bundled analytical reports in a single low-cost call. Prefer this over generic deduplication tools when your data specifically involves station-group-based survey area measurements and you need structured report output without any live lookups or external data enrichment.

## Known failure modes

- More than 200 rows submitted — request will be rejected due to maxItems limit
- Missing required fields (row_id, station_group, date, surveyed_m2, or target_m2) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Empty rows array (minItems: 1 violated) returns an error
- Numeric values out of allowed range (±1,000,000,000,000) cause schema rejection

## How this service works

Field survey coverage — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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 analytical reports covering: (1) exact duplicate rows identified and removed, and (2) records reordered by numeric row ordering — applied to the selected field (surveyed_m2 or target_m2) across up to 200 supplied field survey coverage rows. No external lookups or predictions are made; all analysis is local.

## 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-exact-row-deduplication-numeric-row-ordering-a2dbe68b/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)