# Camera Coverage — Numeric Interval Filter + Date by Category Pivot

> Camera Coverage — Numeric Interval Filter + 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).

Filters camera coverage records by a numeric interval on shot_count or coverage_seconds and produces a date-by-category pivot report from the supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-133?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-numeric-interval-filter-date-by-category-pivot-5da4de85
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nTBZdYxD0btwP0jGmK0Te

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-numeric-interval-filter-date-by-category-pivot-5da4de85 -d '<json body>'
```

Example prompt: I have camera coverage records with shot_count and coverage_seconds for several asset groups across dates in October 2026 — can you filter to rows where shot_count is between 10 and 25, and pivot the results by date and asset_group?

## When to prefer this

Choose this endpoint when you have up to 200 pre-collected camera coverage records and need both a numeric range filter and a date-by-category pivot in a single call. It is ideal for offline/batch analytical tasks on supplied data where no live camera feed, external lookup, or AI prediction is needed. Prefer this over general analytics platforms when you want a lightweight, low-cost ($0.01 USDC) dual-report computation specifically structured for shot_count and coverage_seconds fields organized by asset_group and date.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, asset_group, date, shot_count, coverage_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — may return empty filter results
- Null numeric values in shot_count or coverage_seconds — rows may be excluded from interval filter
- Field enum value not recognized — schema validation error

## How this service works

Camera coverage — Numeric interval filter + Date by category pivot: Numeric interval filter + 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) rows from the input dataset whose selected numeric field (shot_count or coverage_seconds) falls within the specified [minimum, maximum] interval, and (2) a pivot table grouping the data by date and asset_group category — both derived purely from the supplied rows with no external data lookups. Up to 200 rows supported per call.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/camera-coverage-numeric-interval-filter-date-by-category-pivot-5da4de85/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)