# Camera Coverage Analytics — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series

> Camera Coverage Analytics — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series 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 local analytical reports on camera coverage data (shot_count, coverage_seconds): a record quality audit, exact row deduplication, and a trailing mean series, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-216?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-analytics-record-quality-audit-exact-row-eb690f65
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ClUIsDdpz1oCYrnZGvG55

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-analytics-record-quality-audit-exact-row-eb690f65 -d '<json body>'
```

Example prompt: Can you audit these camera coverage records for quality issues, remove any exact duplicate rows, and compute a trailing mean over shot_count with a window of 3? Here are up to 50 rows with row_id, asset_group, date, shot_count, and coverage_seconds.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations on camera coverage data in a single cost-efficient call: quality auditing, exact deduplication, and trailing mean computation. It is ideal for data pipeline preprocessing steps where you want to clean and summarize camera footage metrics without any external API calls, predictions, or professional assessments. Best suited for datasets up to 200 rows where local, deterministic analysis is sufficient.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, asset_group, date, shot_count, or coverage_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size outside range 2–200 — rejected
- Field value not one of allowed enum values (shot_count or coverage_seconds) — error
- Payment not provided or insufficient — 402 Payment Required

## How this service works

Camera coverage — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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 in the supplied rows; (2) an exact row deduplication report identifying and removing identical rows; and (3) a trailing mean series for the selected numeric field (shot_count or coverage_seconds) computed with the specified window size. All analysis is performed 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/camera-coverage-analytics-record-quality-audit-exact-row-eb690f65/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)