# Field Survey Coverage Analyzer — Quality Audit, Deduplication & Interval Filter

> Field Survey Coverage Analyzer — Quality Audit, Deduplication & Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Runs three analytical reports on field survey coverage data: record quality audit, exact row deduplication, and numeric interval filtering on surveyed_m2 or target_m2 values.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-22-214?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/field-survey-coverage-analyzer-quality-audit-deduplication-interval-ca8990a9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fa5nzwKb6YebCfYRPOVgQ

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-analyzer-quality-audit-deduplication-interval-ca8990a9 -d '<json body>'
```

Example prompt: Can you audit my field survey coverage records for quality issues, remove any exact duplicates, and filter to only rows where surveyed_m2 is between 0 and 500? I have about 50 rows with fields: row_id, station_group, date, surveyed_m2, and target_m2.

## When to prefer this

Choose this endpoint when you need a bundled three-in-one analytical pass on field survey coverage data (quality audit + deduplication + numeric interval filtering) in a single call, especially when working with datasets up to 200 rows and you want results purely from supplied data with no external lookups or predictions. It is cost-effective at $0.01 for all three reports simultaneously.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) cause row-level rejection
- Invalid date format (non YYYY-MM-DD) triggers quality audit flags
- Minimum value greater than maximum value may produce empty interval filter results
- Payment failure prevents endpoint execution

## How this service works

Field survey coverage — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 reports covering: (1) a record quality audit flagging issues such as nulls, malformed dates, or out-of-range values; (2) an exact row deduplication report identifying and grouping identical records; and (3) a numeric interval filter report listing which rows have the selected field (surveyed_m2 or target_m2) within the specified minimum–maximum range. All reports are based purely on 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
  },
  "field": {
   "enum": [
    "surveyed_m2",
    "target_m2"
   ],
   "type": "string",
   "default": "surveyed_m2"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/field-survey-coverage-analyzer-quality-audit-deduplication-interval-ca8990a9/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)