# Camera Coverage Daily Sum Series with Missing-Value Fill

> Camera Coverage Daily Sum Series with Missing-Value Fill 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 daily sum time series for camera coverage metrics (shot_count or coverage_seconds) and explicitly fills missing values using a chosen strategy (zero, mean, or median)

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-145?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-daily-sum-series-with-missing-value-fill-c2f8a232
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hwykrixPJGyBaK51-uu_k

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-daily-sum-series-with-missing-value-fill-c2f8a232 -d '<json body>'
```

Example prompt: I have up to 200 rows of camera coverage records with shot_count and coverage_seconds by date and asset group — can you compute the daily sum series for shot_count and fill any missing values using the median?

## When to prefer this

Choose this endpoint when you have tabular camera coverage records (up to 200 rows) and need both a daily aggregated sum time series and explicit missing-value imputation in a single call. It is ideal for media analytics pipelines, film production tracking, or surveillance coverage audits where gaps in daily data need to be handled systematically. Prefer this over general-purpose analytics tools when you want two bundled reports (sum series + fill report) at low cost and with no external data dependencies.

## Known failure modes

- Fewer than 1 row provided — API rejects with validation error
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema pattern validation fails
- Unknown fill method specified outside zero/mean/median enum — rejected
- Null values in both shot_count and coverage_seconds with no valid data for mean/median computation — may return degenerate fill values
- Missing required row fields (row_id, asset_group, date) — schema validation error

## How this service works

Camera coverage — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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 independent analytical reports: (1) a daily sum time series for the selected field (shot_count or coverage_seconds), aggregated by date across all provided rows; and (2) an explicit missing-value fill report showing how gaps were handled using the chosen strategy (zero, mean, or median). 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/camera-coverage-daily-sum-series-with-missing-value-fill-c2f8a232/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)