# Publication Proofing — Exact Row Deduplication + Category Frequencies

> Publication Proofing — Exact Row Deduplication + Category Frequencies 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).

Deduplicates exact duplicate rows and computes category-level frequency distributions for publication proofing records containing checked_pages and flagged_pages fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-18-041?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/publication-proofing-exact-row-deduplication-category-frequencies-f9a78121
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ABe7ypQklfC1DL62_0uGv

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-exact-row-deduplication-category-frequencies-f9a78121 -d '<json body>'
```

Example prompt: Can you deduplicate my publication proofing records and give me category frequency counts by document_group? I have rows with row_id, date, checked_pages, and flagged_pages fields — here are up to 200 entries I'd like both reports on.

## When to prefer this

Choose this endpoint when you need both exact-duplicate row detection and category frequency analysis on publication proofing records in a single low-cost call. It is purpose-built for editorial/proofing data with checked_pages and flagged_pages fields, offers two independent reports for $0.01, and requires no external data sources or live lookups — ideal for batch data quality checks before publication runs.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, document_group, date, checked_pages, flagged_pages) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Empty rows array returns an error due to minItems:1 constraint
- Non-numeric values in checked_pages or flagged_pages fields cause type errors

## How this service works

Publication proofing — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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: (1) a deduplicated set of rows with duplicate row identifiers flagged or removed, and (2) a frequency table showing how many times each document_group category appears across the submitted records. Both reports are computed 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_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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/publication-proofing-exact-row-deduplication-category-frequencies-f9a78121/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)