# Camera Coverage Record Quality Audit, String Normalisation & Two-Measure Correlation

> Camera Coverage Record Quality Audit, String Normalisation & Two-Measure Correlation 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 three offline analytical reports on camera coverage row data: a record quality audit, string normalisation check, and two-measure correlation between shot_count and coverage_seconds.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-204?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-two-measure-88f83a32
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jvxYokrFfBAOmGjH21hZ6

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-two-measure-88f83a32 -d '<json body>'
```

Example prompt: Can you audit the quality of these camera coverage records and also check the string normalisation across asset groups and see how shot_count correlates with coverage_seconds? I have up to 200 rows with row IDs, dates like 2026-10-01, asset groups like group-a or group-b, shot counts, and coverage seconds.

## When to prefer this

Choose this endpoint when you have camera coverage tabular data (up to 200 rows) and need all three of a quality audit, string normalisation, and correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for media production teams validating shot logs before downstream analytics, where no live lookups, external data enrichment, or predictions are needed — only deterministic offline analysis of the supplied records.

## Known failure modes

- Payload exceeds 200 rows — request rejected or truncated
- Row missing required field (row_id, date, shot_count, coverage_seconds, asset_group) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- shot_count or coverage_seconds outside allowed numeric range — rejected
- Empty rows array submitted — minimum 1 row required
- Payment of 0.01 USDC not settled via x402 protocol — 402 response returned

## How this service works

Camera coverage — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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 three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report identifying and standardising inconsistent asset_group strings; and (3) a two-measure correlation analysis showing the statistical relationship between shot_count and coverage_seconds across all supplied rows. All processing is local 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/camera-coverage-record-quality-audit-string-normalisation-two-measure-88f83a32/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)