# Camera Coverage IQR Outlier Flags + Keyed Dataset Comparison

> Camera Coverage IQR Outlier Flags + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Runs IQR-based outlier detection and keyed dataset comparison on up to 200 camera coverage records (shot_count or coverage_seconds) in a single paid call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-12-179?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/camera-coverage-iqr-outlier-flags-keyed-dataset-comparison-a00e044a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DK4xPuou59Zstq-vqO88i

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-iqr-outlier-flags-keyed-dataset-comparison-a00e044a -d '<json body>'
```

Example prompt: Can you run IQR outlier detection and a keyed comparison on these two sets of camera coverage records I'm supplying — up to 200 rows each — using shot_count as the field to analyze? I want to know which rows are statistical outliers and how the two datasets differ row by row.

## When to prefer this

Choose this endpoint when you have camera coverage records (shot_count or coverage_seconds) and need both IQR-based outlier detection and a structured keyed comparison between two datasets in a single low-cost call. Ideal for media production QA pipelines, daily coverage audits, or batch anomaly checks where no live data lookup or external enrichment is needed and all data is supplied by the caller.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- field enum not recognized — defaults or error depending on implementation
- Insufficient data spread for IQR calculation (e.g. all identical values) — may yield no outliers flagged
- Payment not included or insufficient — x402 payment required error

## How this service works

Camera coverage — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison 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) IQR outlier flags identifying which rows have shot_count or coverage_seconds values outside the interquartile range fence, and (2) a keyed dataset comparison showing row-level differences between the primary and secondary supplied datasets. No external data is fetched; all analysis runs on the supplied rows only.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "shot_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "coverage_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "shot_count": 10,
     "asset_group": "group-a",
     "coverage_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "shot_count": 20,
     "asset_group": "group-b",
     "coverage_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "shot_count": 15,
     "asset_group": "group-a",
     "coverage_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "shot_count": 30,
     "asset_group": "group-b",
     "coverage_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "shot_count",
    "coverage_seconds"
   ],
   "type": "string",
   "default": "shot_count"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "shot_count",
     "coverage_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/camera-coverage-iqr-outlier-flags-keyed-dataset-comparison-a00e044a/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)