# Field Survey Coverage — Exact Row Deduplication + Grouped Numeric Summary

> Field Survey Coverage — Exact Row Deduplication + Grouped Numeric Summary 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 field survey coverage records and produces grouped numeric summaries for surveyed_m2 or target_m2 across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-22-040?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-grouped-numeric-summary-9c308b82
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_A7CHnrJ0wIeJUI5CIc7IR

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-grouped-numeric-summary-9c308b82 -d '<json body>'
```

Example prompt: I have field survey coverage records for multiple station groups — can you deduplicate them and give me a grouped numeric summary of the surveyed_m2 field? Here are my rows: row-1 on 2026-10-01 for group-a with surveyed_m2=10 and target_m2=1, row-2 on 2026-10-02 for group-b with surveyed_m2=20 and target_m2=2, row-3 on 2026-10-03 for group-a with surveyed_m2=15 and target_m2=3.

## When to prefer this

Choose this endpoint when you have field survey coverage records (with surveyed_m2 and target_m2 measurements) that need exact duplicate removal and grouped numeric aggregation in a single call. It is ideal for pre-reporting data cleaning and QA workflows where you want both deduplication and summary statistics without sending data to an external live service. Best for datasets up to 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array returns an error
- Invalid field enum value (not surveyed_m2 or target_m2) causes rejection

## How this service works

Field survey coverage — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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 reports: (1) a list of deduplicated rows with exact duplicates removed, and (2) a grouped numeric summary (e.g. count, sum, mean, min, max) of the chosen field (surveyed_m2 or target_m2) aggregated by station_group, computed locally without any 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-exact-row-deduplication-grouped-numeric-summary-9c308b82/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)