# Style Guide Audits — Category Frequencies + Numeric Row Ordering

> Style Guide Audits — Category Frequencies + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Analyzes style guide audit records to produce category frequency distributions and numerically ordered row rankings for checked_items and flagged_items fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-05-100?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/style-guide-audits-category-frequencies-numeric-row-ordering-ef1037de
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZgAgkR1Haz6mB4oDicMyl

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-category-frequencies-numeric-row-ordering-ef1037de -d '<json body>'
```

Example prompt: I have style guide audit records for our content team — can you run a category frequency report on document_group and rank the rows by flagged_items? Here are up to 200 rows with row_id, date, document_group, checked_items, and flagged_items fields.

## When to prefer this

Choose this endpoint when you have tabular style guide audit data (up to 200 rows) and need both a categorical frequency breakdown and a numeric row ranking in a single low-cost call. It is ideal for editorial, content compliance, or writing quality workflows where you want to understand document group distribution and identify highest-flagged or most-checked audit entries without any external data enrichment or live assessment.

## Known failure modes

- Missing required fields (row_id, document_group, date, checked_items, flagged_items) cause validation errors
- Submitting more than 200 rows exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Providing non-numeric values for checked_items or flagged_items where numbers are expected will cause errors
- Empty rows array will be rejected due to minItems:1 constraint

## How this service works

Style guide audits — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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

Two analytical reports: (1) a category frequency table showing how often each document_group value appears in the supplied rows, and (2) a numerically ordered ranking of rows sorted by the selected numeric field (checked_items or flagged_items). Results are derived entirely 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",
     "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-category-frequencies-numeric-row-ordering-ef1037de/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)