# Camera Coverage Adjacent Row Changes + IQR Outlier Flags

> Camera Coverage Adjacent Row Changes + IQR Outlier Flags 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).

Analyzes camera coverage records (shot_count, coverage_seconds) by computing adjacent row changes and flagging IQR-based outliers, returning two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-157?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-adjacent-row-changes-iqr-outlier-flags-7fa6c46d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dEYq4EDUYx7WPGFkWCEFi

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-adjacent-row-changes-iqr-outlier-flags-7fa6c46d -d '<json body>'
```

Example prompt: Can you run an adjacent-row change analysis and IQR outlier detection on my camera coverage records? Here are 4 rows: group-a on 2026-10-01 had 10 shots and 1 coverage second, group-b on 2026-10-02 had 20 shots and 2 seconds, group-a on 2026-10-03 had 15 shots and 3 seconds, group-b on 2026-10-04 had 30 shots and 4 seconds — analyze the shot_count field.

## When to prefer this

Choose this endpoint when you need fast, offline statistical analysis of camera coverage time-series data — specifically adjacent row change detection and IQR outlier flagging — without requiring external data lookups or predictions. Ideal for production pipeline QA, broadcast log auditing, or asset group coverage anomaly detection on batches of up to 200 records. Prefer this over general-purpose analytics tools when you need both change detection and outlier flagging in a single low-cost call ($0.01 USDC for two reports).

## Known failure modes

- Exceeding 200 rows returns an error or truncated result
- Missing required fields (row_id, date, asset_group) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Providing fewer than 1 row is not permitted
- Null values in the selected field may reduce outlier detection accuracy
- Network or payment processing failure returns no result

## How this service works

Camera coverage — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags 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) adjacent row-to-row change values for the selected field (shot_count or coverage_seconds) across the supplied records, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range boundaries, based solely on 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-adjacent-row-changes-iqr-outlier-flags-7fa6c46d/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)