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Article Publication Data Quality Audit, String Normalisation & Numeric Row Ordering
x402
Article Publication Data Quality Audit, String Normalisation & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Performs record quality audit, string normalisation, and numeric row ordering on article publication data (published_articles, word_count) for up to 200 rows, returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Article publication — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied article publication records (published_articles, word_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent reports covering: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report on text fields such as channel_group, and (3) a numeric row ordering of the dataset sorted by the selected field (published_articles or word_count). All reports are derived from the supplied data only — no external lookups or predictions.
Example use cases
Newsroom publishing data quality check
“I have a batch of 50 article publication records with channel groups, dates, published article counts, and word counts — can you audit them for quality issues, normalise the string fields, and order the rows by word_count?”
Content team channel group normalisation
“My editorial team has inconsistent channel_group strings across 120 article records. Can you normalise those strings and give me a quality report on the published_articles field?”
Weekly article metrics row ordering
“Here are this week's 30 rows of article publication data with published_articles and word_count columns — please run the full quality audit and return them ordered numerically by published_articles.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-01-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, low-cost ($0.01 USDC) triple-report covering data quality auditing, string normalisation, and numeric row ordering on article publication datasets of up to 200 rows, without requiring any external data sources, live lookups, or predictions. Ideal for editorial analytics pipelines, newsroom data hygiene workflows, and content metric validation tasks where all analysis is performed locally on the supplied records.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, channel_group, date, published_articles, word_count) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid field enum value (must be 'published_articles' or 'word_count')
- Numeric values out of range (beyond ±1,000,000,000,000)
- Payment not received or insufficient USDC — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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