# Publication Proofing — Numeric Row Ordering + Daily Sum Series

> Publication Proofing — Numeric Row Ordering + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Computes numeric row ordering and daily sum series for publication proofing records (checked_pages, flagged_pages) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-18-114?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/publication-proofing-numeric-row-ordering-daily-sum-series-3ba8392e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RRy-_Ri01los1iVTeh6PK

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-numeric-row-ordering-daily-sum-series-3ba8392e -d '<json body>'
```

Example prompt: I have a batch of publication proofing records with checked_pages and flagged_pages per document group and date — can you run numeric row ordering and a daily sum series on them? Here are up to 50 rows with dates like 2026-10-01, document groups like 'group-a', and I want the report for checked_pages.

## When to prefer this

Choose this endpoint when you have publication proofing records with checked_pages and flagged_pages and need both a ranked ordering of rows AND a daily aggregation series in a single call for up to 200 rows. It is ideal for editorial QA workflows where you want to identify high-volume days and rank documents without building custom analytics. Prefer it over generic analytics tools when you want two pre-configured reports (row ordering + daily sums) on proofreading metrics at minimal cost.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, document_group, date, checked_pages, flagged_pages) — validation error
- Field enum value not 'checked_pages' or 'flagged_pages' — rejected
- Null values for both checked_pages and flagged_pages across all rows — may produce empty or zero-sum series
- Payment of 0.01 USDC not provided — x402 payment required error

## How this service works

Publication proofing — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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

Returns two analytical reports: (1) a numeric row ordering report ranking the supplied rows by the chosen field (checked_pages or flagged_pages), and (2) a daily sum series report aggregating the chosen field's values by date across all rows and document groups. No external lookups or predictions are made; all computation is local.

## 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-numeric-row-ordering-daily-sum-series-3ba8392e/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)