# Style Guide Audits — Exact Row Deduplication + IQR Outlier Flags

> Style Guide Audits — Exact Row Deduplication + 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 2026-10-27).

Deduplicates exact duplicate rows and flags statistical outliers using IQR analysis for style guide audit records (checked_items, flagged_items), producing two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-05-049?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-27
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/style-guide-audits-exact-row-deduplication-iqr-outlier-flags-5e7b5ae4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SvX8oAKb61yFdWQ-22-M0

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 style-guide-audits-exact-row-deduplication-iqr-outlier-flags-5e7b5ae4 -d '<json body>'
```

Example prompt: Can you deduplicate and flag IQR outliers in my style guide audit records? Here are the rows: row-1 on 2026-10-01 in group-a had 10 checked_items and 1 flagged_items; row-2 on 2026-10-02 in group-b had 20 checked_items and 2 flagged_items — I want both the deduplication report and the outlier flags for checked_items.

## When to prefer this

Choose this endpoint when you have style guide audit tabular data (up to 200 rows) and need both exact duplicate removal and IQR-based outlier detection in a single call without any external lookups or predictions. It is ideal for lightweight, self-contained data quality checks on document review metrics where no live data sources or ML models are needed.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, document_group, date, checked_items, flagged_items) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Fewer than 1 row supplied — minItems constraint violation
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Invalid field enum value (not checked_items or flagged_items) — error

## How this service works

Style guide audits — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags for supplied style guide audits records (checked_items, flagged_items). 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) an exact row deduplication report identifying which rows are identical duplicates, and (2) an IQR-based outlier flagging report identifying statistically anomalous values in either checked_items or flagged_items. No external data is fetched; all analysis is performed locally on the supplied rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/style-guide-audits-exact-row-deduplication-iqr-outlier-flags-5e7b5ae4/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)