# Camera Coverage Analytics: Base-100 Series + Date-by-Category Pivot

> Camera Coverage Analytics: Base-100 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 2026-10-22).

Runs two analytical reports on camera coverage data — a Base-100 indexed time series and a date-by-category pivot table — for up to 200 supplied rows of shot_count or coverage_seconds data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-167?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/camera-coverage-analytics-base-100-series-date-by-category-pivot-26ad55cb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PIHTyb6WSN8nQjyXYL0AZ

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-base-100-series-date-by-category-pivot-26ad55cb -d '<json body>'
```

Example prompt: I have camera coverage records for two asset groups — group-a and group-b — across four dates in October 2026 with shot counts of 10, 20, 15, and 30; can you run a Base-100 index series and a date-by-category pivot on the shot_count field, using row index 0 as the base?

## When to prefer this

Choose this endpoint when you have camera coverage data (shot counts or coverage seconds) organized by asset group and date, and need both a Base-100 normalized trend series and a date-by-category pivot in a single low-cost call. It is ideal for post-production analysis, security camera audits, or any scenario where you want to benchmark relative changes over time alongside a grouped breakdown, all from your own supplied data without any external lookup.

## Known failure modes

- Missing required row fields (row_id, asset_group, date, shot_count, coverage_seconds) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index pointing to a row with a null or zero value may cause normalization issues
- Empty rows array (minItems: 1 not met) returns a validation error
- Invalid field enum value (anything other than shot_count or coverage_seconds) is rejected

## How this service works

Camera coverage — Base-100 series + Date by category pivot: Base-100 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

Returns two analytical reports: (1) a Base-100 indexed time series for the chosen field (shot_count or coverage_seconds), normalizing each value relative to the specified base row index; and (2) a date-by-category pivot table grouping the same field by date and asset_group. Both reports are computed locally from the supplied rows with no external data 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/camera-coverage-analytics-base-100-series-date-by-category-pivot-26ad55cb/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)