# Article Publication Data Quality — String Normalisation + Duplicate Key Report

> Article Publication Data Quality — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs string normalisation and duplicate key detection on batches of article publication records (published_articles, word_count) and returns two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-01-021?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/article-publication-data-quality-string-normalisation-duplicate-key-73af7423
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MbzOTPtJSi9iJY1CMZBER

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 article-publication-data-quality-string-normalisation-duplicate-key-73af7423 -d '<json body>'
```

Example prompt: Can you check these article publication records for duplicate keys and normalise the strings? I have up to 50 rows with fields like row_id, channel_group, date, published_articles, and word_count — I need both the duplicate key report and the string normalisation report back.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical data quality checks on article publication records specifically — no external lookups or live data enrichment, just fast string normalisation and duplicate key detection on up to 200 rows for a flat $0.01 USDC. Ideal for pre-processing pipelines before aggregation, import, or reporting where data consistency matters.

## Known failure modes

- Exceeding 200 rows per request returns a validation error
- Missing required fields (row_id, channel_group, date, published_articles, word_count) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Empty rows array returns an error (minItems: 1)
- Numeric fields outside the allowed range trigger schema validation failures

## How this service works

Article publication — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied article publication records (published_articles, word_count). 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 independent analytical reports: (1) a string normalisation report highlighting inconsistencies, case variations, whitespace issues, or other string anomalies in the channel_group and date fields; (2) a duplicate key report identifying rows with repeated or conflicting key combinations. Covers up to 200 input rows per call.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "published_articles",
     "word_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "word_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "channel_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "published_articles": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "word_count": 1,
     "channel_group": "group-a",
     "published_articles": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "word_count": 2,
     "channel_group": "group-b",
     "published_articles": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "word_count": 3,
     "channel_group": "group-a",
     "published_articles": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "word_count": 4,
     "channel_group": "group-b",
     "published_articles": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/article-publication-data-quality-string-normalisation-duplicate-key-73af7423/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)