# Camera Coverage Analytics — Daily Sum Series & Date-by-Category Pivot

> Camera Coverage Analytics — Daily Sum Series & Date-by-Category Pivot 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).

Computes two analytical reports on camera coverage data: a daily sum time series and a date-by-category pivot table, for up to 200 rows of shot_count or coverage_seconds data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-143?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-daily-sum-series-date-by-category-pivot-363ec43c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sT-HVXr0TEDv2etLKVpqj

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-daily-sum-series-date-by-category-pivot-363ec43c -d '<json body>'
```

Example prompt: I have a list of camera coverage records with shot counts and coverage seconds for several asset groups across multiple dates — can you give me both a daily sum time series and a date-by-category pivot for the shot_count field? Here are the rows: [{"row_id":"r1","asset_group":"studio-a","date":"2025-01-01","shot_count":42,"coverage_seconds":3600},{"row_id":"r2","asset_group":"studio-b","date":"2025-01-01","shot_count":18,"coverage_seconds":1800}].

## When to prefer this

Choose this endpoint when you have raw camera coverage records (with shot_count and/or coverage_seconds per asset group and date) and need both a daily time series aggregate and a cross-tabulated pivot in a single low-cost call. It is ideal for media production, broadcast operations, or surveillance analytics workflows where you want local, deterministic aggregation without any external data lookups or predictions. Prefer it over general-purpose analytics tools when you need both report types simultaneously for up to 200 rows at minimal cost.

## Known failure modes

- More than 200 rows supplied — 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) — validation error
- Empty rows array — error due to minItems:1 constraint
- Invalid field enum value (not shot_count or coverage_seconds) — schema rejection

## How this service works

Camera coverage — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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

Two analytical reports derived from the supplied camera coverage rows: (1) a daily sum time series showing the total of the selected field (shot_count or coverage_seconds) aggregated by date, and (2) a date-by-category pivot table cross-tabulating dates against asset groups with summed values. Results cover up to 200 input rows and are computed entirely from the supplied data 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-analytics-daily-sum-series-date-by-category-pivot-363ec43c/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)