# Style Guide Audits — String Normalisation + Numeric Distribution

> Style Guide Audits — String Normalisation + Numeric Distribution 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).

Runs two local analytical reports on style guide audit records: string normalisation on text fields and numeric distribution analysis on checked_items or flagged_items, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-05-022?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-string-normalisation-numeric-distribution-a436da98
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9IgU8-CN2zSJ1WA3ZAX27

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-numeric-distribution-a436da98 -d '<json body>'
```

Example prompt: Can you run string normalisation and numeric distribution reports on my style guide audit data? I have rows with document_group, date, checked_items, and flagged_items — here are up to 200 records — and I want the analysis on the flagged_items field.

## When to prefer this

Choose this endpoint when you have structured style guide audit records (with checked_items and flagged_items columns) and need both string normalisation and numeric distribution analysis in a single low-cost call, without requiring external data, live lookups, or professional editorial assessment. Ideal for batch pre-processing or QA pipelines on writing compliance data up to 200 rows.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, document_group, date, checked_items, flagged_items) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside allowed range (-1T to +1T) are rejected
- Null values in the selected numeric field may limit distribution report completeness
- Invalid field selector (not 'checked_items' or 'flagged_items') causes error

## How this service works

Style guide audits — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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) a string normalisation report on the text fields (row_id, document_group) in the supplied rows, and (2) a numeric distribution report on the selected numeric field (checked_items or flagged_items), covering statistics such as min, max, mean, and distribution shape — all computed locally 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",
     "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-numeric-distribution-a436da98/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)