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Article Publication Data Quality & Analytics Suite
x402
Article Publication Data Quality & Analytics Suite 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).
Runs three analytical reports on article publication data: record quality audit, string normalization, and secondary-measure weighted mean computation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Article publication — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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 analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and structural anomalies; (2) string normalization output for the channel_group field; and (3) a secondary-measure weighted mean computed over the selected numeric field (published_articles or word_count). All computed locally with no external lookups. Covers up to 200 input rows.
Example use cases
Editorial data quality review
“I have a CSV export of our daily article publishing records with dates, channel groups, article counts, and word counts — can you audit the data quality, normalize the channel group strings, and compute a weighted mean on the published_articles field for me? There are about 120 rows total.”
Content channel normalization check
“Our CMS exported article data across several channel groups but the naming is inconsistent. Can you normalize those strings and run a quality audit on the records? I'll send up to 80 rows with date, row ID, channel_group, published_articles, and word_count.”
Word count weighted average for publishing report
“I need a weighted mean of the word_count field across all my article publication rows to include in a weekly report. There are 40 rows with channel groups and dates — can you also flag any quality issues in the records while you're at it?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-01-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled trio of data quality, normalization, and statistical analysis on article publishing records without requiring external data lookups or live predictions. Ideal for editorial teams validating CMS exports, data pipelines doing pre-processing checks, or analysts needing a quick weighted mean alongside quality flags — all at low cost ($0.01 USDC for three reports on up to 200 rows).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, channel_group, date, published_articles, word_count) causes rejection
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- Providing an invalid field enum value (not 'published_articles' or 'word_count') returns an error
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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