# Publication Proofing — String Normalisation + Secondary-Measure Weighted Mean

> Publication Proofing — 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 2026-10-30).

Runs string normalisation and a secondary-measure weighted mean analysis on up to 200 publication proofing rows containing checked_pages and flagged_pages fields, returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-18-034?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/publication-proofing-string-normalisation-secondary-measure-weighted-26bf8ab8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_545dtSsDIHeXbJjv_fqxl

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 publication-proofing-string-normalisation-secondary-measure-weighted-26bf8ab8 -d '<json body>'
```

Example prompt: I have up to 200 publication proofing records with checked_pages and flagged_pages fields and I want two reports: one that normalises the document_group strings and one that gives a secondary-measure weighted mean for flagged_pages — can you run that analysis on my dataset?

## When to prefer this

Choose this endpoint when you have tabular publication proofing data with checked_pages and flagged_pages metrics and need both string normalisation and a secondary-measure weighted mean in a single low-cost call. It is best suited for offline analytical batch work on up to 200 rows where no live external data, predictions, or professional editorial assessment is required. At $0.01 USDC for two reports it is cost-efficient for routine editorial QA pipelines.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, document_group, date, checked_pages, or flagged_pages) — validation error returned
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric field values outside allowed range — schema validation error
- Invalid field selector value (not 'checked_pages' or 'flagged_pages') — enum validation failure
- Empty rows array — minItems constraint violation

## How this service works

Publication proofing — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied publication proofing records (checked_pages, flagged_pages). 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 per call: (1) normalised string values for the document_group and related string fields, and (2) a secondary-measure weighted mean computed over the selected numeric field (checked_pages or flagged_pages) across up to 200 supplied rows. All computation is performed locally 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_pages",
     "flagged_pages"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "checked_pages": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "flagged_pages": {
      "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_pages": 10,
     "flagged_pages": 1,
     "document_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "checked_pages": 20,
     "flagged_pages": 2,
     "document_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "checked_pages": 15,
     "flagged_pages": 3,
     "document_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "checked_pages": 30,
     "flagged_pages": 4,
     "document_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "checked_pages",
    "flagged_pages"
   ],
   "type": "string",
   "default": "checked_pages"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/publication-proofing-string-normalisation-secondary-measure-weighted-26bf8ab8/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)