# Style Guide Audits — String Normalisation + Secondary-Measure Weighted Mean

> Style Guide Audits — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Runs string normalisation and secondary-measure weighted mean analysis on style guide audit records (checked_items, flagged_items) for up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-05-034?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/style-guide-audits-string-normalisation-secondary-measure-weighted-mean-c0611666
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oCfoDMuDg4f0ws51TDZyL

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-string-normalisation-secondary-measure-weighted-mean-c0611666 -d '<json body>'
```

Example prompt: I have 4 style guide audit rows — group-a on 2026-10-01 with 10 checked and 1 flagged, group-b on 2026-10-02 with 20 checked and 2 flagged, group-a on 2026-10-03 with 15 checked and 3 flagged, and group-b on 2026-10-04 with 30 checked and 4 flagged — can you run string normalisation and a secondary-measure weighted mean on the checked_items field and give me both reports?

## When to prefer this

Choose this endpoint when you have style guide audit data (checked and flagged item counts per document group and date) and need two fast, local statistical reports — string normalisation plus a secondary-measure weighted mean — without any external data lookup, prediction, or professional assessment. Ideal for editorial teams doing batch compliance reviews of up to 200 audit rows at low cost ($0.01 USDC for both reports).

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, document_group, checked_items, flagged_items) causes schema rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null values in both checked_items and flagged_items may produce undefined weighted mean
- Selecting an invalid field enum value other than 'checked_items' or 'flagged_items' causes rejection

## How this service works

Style guide audits — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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 independent analytical reports: (1) normalised string representation of the selected metric field across the supplied audit rows, and (2) a secondary-measure weighted mean computed over checked_items or flagged_items, both derived 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",
     "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-string-normalisation-secondary-measure-weighted-mean-c0611666/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)