# Camera Coverage Record Quality Audit + IQR Outlier Flags

> Camera Coverage Record Quality Audit + IQR Outlier Flags 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).

Runs two analytical reports on supplied camera coverage records: a record quality audit and IQR-based outlier detection for shot_count or coverage_seconds fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-014?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-iqr-outlier-flags-d67b12c3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QAXVQyVq9s-QfyaUS9PQN

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-iqr-outlier-flags-d67b12c3 -d '<json body>'
```

Example prompt: Can you audit these camera coverage records for data quality issues and flag any IQR outliers in the shot_count field? I have up to 50 rows with row IDs, asset groups, dates, shot counts, and coverage seconds.

## When to prefer this

Choose this endpoint when you need fast, low-cost, offline statistical quality auditing of camera coverage tabular data — specifically when you want both a general record quality audit and IQR-based outlier detection in a single call for up to 200 rows. Ideal for pre-analysis data validation pipelines, media production data QC workflows, or any scenario where you need to catch bad or anomalous camera coverage records without relying on external lookups or live data sources.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- All-null values in the selected field may prevent IQR computation
- Malformed JSON input returns error response

## How this service works

Camera coverage — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags for supplied camera coverage records (shot_count, coverage_seconds). 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 independent analytical reports for the submitted rows: (1) a record quality audit identifying missing, malformed, or suspicious values across the dataset, and (2) IQR outlier flags identifying rows where the selected numeric field (shot_count or coverage_seconds) falls outside the interquartile range bounds. Results are computed locally 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/camera-coverage-record-quality-audit-iqr-outlier-flags-d67b12c3/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)