# Camera Coverage Deduplication and Date-Category Pivot

> Camera Coverage Deduplication and Date-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).

Deduplicates camera coverage rows exactly and produces a date-by-category pivot report for shot_count or coverage_seconds metrics across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-052?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-deduplication-and-date-category-pivot-160a9d50
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bXkT-GKP3gGT6n-DOzqpN

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-deduplication-and-date-category-pivot-160a9d50 -d '<json body>'
```

Example prompt: I have a list of up to 200 camera coverage records with row IDs, asset groups, dates, shot counts, and coverage seconds — can you deduplicate them exactly and give me a date-by-category pivot on shot_count?

## When to prefer this

Choose this endpoint when you need to simultaneously clean duplicate camera coverage records and produce a date-by-category pivot report in a single low-cost call. It is ideal for media production pipelines, post-production audits, and asset tracking workflows where shot_count or coverage_seconds data may contain redundant rows and a structured pivot by date and asset group is needed. Best suited for datasets under 200 rows that require no live data lookup or external enrichment.

## Known failure modes

- Rows array is empty or missing — validation error returned
- More than 200 rows supplied — request rejected with max-items error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Invalid field enum value (not shot_count or coverage_seconds) — request rejected
- Malformed row objects with extra properties — rejected due to additionalProperties:false constraint
- Numeric values outside allowed range (-1e12 to 1e12) — schema validation error

## How this service works

Camera coverage — Exact row deduplication + Date by category pivot: Exact row deduplication + 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) an exact row deduplication report identifying and removing duplicate camera coverage records, and (2) a date-by-category pivot table showing the selected metric (shot_count or coverage_seconds) broken down by date and asset_group. Both reports are computed locally 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-deduplication-and-date-category-pivot-160a9d50/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)