# Editorial Turnaround — String Normalisation + Adjacent Row Changes

> Editorial Turnaround — String Normalisation + Adjacent Row Changes 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).

Analyzes editorial turnaround records (draft_hours, review_hours) to produce string normalization and adjacent row change reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-15-029?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/editorial-turnaround-string-normalisation-adjacent-row-changes-e2150b6d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E3yVGddBQUXwprnbP3dSm

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 editorial-turnaround-string-normalisation-adjacent-row-changes-e2150b6d -d '<json body>'
```

Example prompt: Can you run string normalization and adjacent row change analysis on my editorial turnaround data? I have 4 rows with draft_hours and review_hours for channel groups group-a and group-b from October 2026 — analyze the draft_hours field.

## When to prefer this

Choose this endpoint when you need two specific local analytical operations — string normalization and adjacent row change detection — applied to editorial turnaround data (draft_hours, review_hours) without any live lookups or external data enrichment. It is ideal for batch processing up to 200 editorial records in a single cheap call ($0.01 USDC) where the data is self-contained and no prediction or professional assessment is required.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, channel_group, date, draft_hours, review_hours) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Invalid field enum value (not draft_hours or review_hours) causes rejection
- Empty rows array (minItems: 1 violated) returns error
- Payment not included or insufficient USDC causes 402 response

## How this service works

Editorial turnaround — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes for supplied editorial turnaround records (draft_hours, review_hours). 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 string normalization report standardizing text fields across the supplied editorial turnaround rows, and (2) an adjacent row changes report highlighting differences between consecutive rows for the selected metric (draft_hours or review_hours). 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",
     "channel_group",
     "date",
     "draft_hours",
     "review_hours"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "draft_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "review_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "channel_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "draft_hours": 10,
     "review_hours": 1,
     "channel_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "draft_hours": 20,
     "review_hours": 2,
     "channel_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "draft_hours": 15,
     "review_hours": 3,
     "channel_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "draft_hours": 30,
     "review_hours": 4,
     "channel_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "draft_hours",
    "review_hours"
   ],
   "type": "string",
   "default": "draft_hours"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/editorial-turnaround-string-normalisation-adjacent-row-changes-e2150b6d/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)