# Field Survey Coverage Data Quality Suite

> Field Survey Coverage Data Quality Suite 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, normalises, and deduplicates up to 200 field survey coverage records (surveyed_m2, target_m2) across three independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-22-191?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-data-quality-suite-70f469a6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gWIACrIuQjiNfawJAz_Rd

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-data-quality-suite-70f469a6 -d '<json body>'
```

Example prompt: Can you run a full data quality check on my field survey coverage data — I need record quality audit, string normalisation, and exact row deduplication reports for these rows with surveyed_m2 and target_m2 values across different station groups and dates?

## When to prefer this

Choose this endpoint when you have structured field survey coverage tabular data (with surveyed_m2 and target_m2 columns) and need three bundled data quality operations — record audit, string normalisation, and exact deduplication — in a single low-cost call without requiring external data sources or live lookups. It is well-suited for pre-analysis data cleaning pipelines handling up to 200 rows of environmental or area-coverage survey records.

## Known failure modes

- More than 200 rows submitted — endpoint rejects with row count exceeded error
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) cause validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Empty rows array returns an error
- Numeric values outside allowed range (±1,000,000,000,000) may be flagged or rejected

## How this service works

Field survey coverage — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied field survey coverage records (surveyed_m2, target_m2). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging issues such as missing or invalid values in the survey rows, (2) a string normalisation report for fields like station_group, and (3) an exact row deduplication report identifying fully duplicate rows. All reports are derived from the 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/field-survey-coverage-data-quality-suite-70f469a6/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)