# Style Guide Audits — String Normalisation + Explicit Missing-Value Fill

> Style Guide Audits — String Normalisation + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Normalises strings and fills missing values in style guide audit records (checked_items, flagged_items) for up to 200 rows, producing 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-05-037?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/style-guide-audits-string-normalisation-explicit-missing-value-fill-1f39a6fd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_73uQlH0-cUIX96VyEozAl

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-explicit-missing-value-fill-1f39a6fd -d '<json body>'
```

Example prompt: Clean up my style guide audit records — I have up to 50 rows with document_group, checked_items, and flagged_items fields; some checked_items are null and I want those filled using the median. Can you normalise the strings and fill those missing values?

## When to prefer this

Choose this endpoint when you have up to 200 style guide audit records with numeric fields (checked_items, flagged_items) that may contain nulls and string fields that need normalisation, and you want both cleaning operations performed together in a single call with two structured reports returned. Prefer this over general-purpose data tools when you specifically need paired string normalisation and missing-value imputation on style guide compliance data without any live lookup or external dependencies.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is rejected (minItems: 1)
- Invalid enum value for method or field triggers schema error
- Payment of 0.01 USDC not satisfied results in 402 response

## How this service works

Style guide audits — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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 covering the submitted style guide audit rows: one report on string normalisation outcomes (standardised document_group and date strings) and one on explicit missing-value fill results for the chosen field (checked_items or flagged_items) using the selected method (zero, mean, or median). No live lookup or external data is used.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/style-guide-audits-string-normalisation-explicit-missing-value-fill-1f39a6fd/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)