# Camera Coverage Record Quality Audit, String Normalisation & Numeric Interval Filter

> Camera Coverage Record Quality Audit, String Normalisation & Numeric 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 2026-10-17).

Audits quality, normalises strings, and filters by numeric interval for up to 200 camera coverage records containing shot_count and coverage_seconds fields, returning 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-197?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/camera-coverage-record-quality-audit-string-normalisation-numeric-8f7a7a9d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UQ3j7UefcpbVdQgroP_ll

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 camera-coverage-record-quality-audit-string-normalisation-numeric-8f7a7a9d -d '<json body>'
```

Example prompt: Can you audit the quality of my camera coverage records, normalise the asset_group strings, and filter out any rows where shot_count falls outside the range 0 to 500? Here are up to 200 rows with fields row_id, asset_group, date, shot_count, and coverage_seconds.

## When to prefer this

Choose this endpoint when you need a combined data quality audit, string normalisation, and numeric range filter for camera coverage records (shot_count, coverage_seconds) in a single low-cost call. It is ideal for pre-processing batches of up to 200 camera log rows before import or reporting, where no live data lookup or external prediction is needed. Prefer alternatives if you need real-time camera feeds, predictive analytics, or processing more than 200 rows at once.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Invalid field enum value (not shot_count or coverage_seconds) — request error
- Empty rows array — minimum items constraint violation

## How this service works

Camera coverage — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied camera coverage records (shot_count, coverage_seconds). 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

Returns 3 independent reports for the supplied rows: (1) a record quality audit highlighting missing, null, or malformed values; (2) a string normalisation report for fields like asset_group and date; and (3) a numeric interval filter report identifying rows where the selected numeric field (shot_count or coverage_seconds) falls outside the specified minimum/maximum range. All processing is local and analytical with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "shot_count",
     "coverage_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "shot_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "coverage_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "shot_count": 10,
     "asset_group": "group-a",
     "coverage_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "shot_count": 20,
     "asset_group": "group-b",
     "coverage_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "shot_count": 15,
     "asset_group": "group-a",
     "coverage_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "shot_count": 30,
     "asset_group": "group-b",
     "coverage_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "shot_count",
    "coverage_seconds"
   ],
   "type": "string",
   "default": "shot_count"
  },
  "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/camera-coverage-record-quality-audit-string-normalisation-numeric-8f7a7a9d/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)