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Article Publication Analytics — Weighted Mean & Missing-Value Fill
x402
Article Publication Analytics — Weighted Mean & Missing-Value Fill 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 a secondary-measure weighted mean and fills missing values for article publication data (published_articles, word_count) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Article publication — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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
Returns 2 analytical reports: (1) a secondary-measure weighted mean computed over the specified field (published_articles or word_count), and (2) the dataset with missing values explicitly filled using the chosen method (zero, mean, or median), covering up to 200 input rows per call.
Example use cases
Imputing missing article counts by channel
“I have a dataset of 150 article publication records across several channel groups but some entries are missing their published_articles values — can you fill those nulls using the mean of the existing values and also give me the weighted mean for the whole dataset?”
Word count weighted average for editorial report
“I need to compute a secondary-measure weighted mean on word_count across my 80 publication rows, with any missing word_count values filled using zero — the data spans multiple channel groups and dates in 2026.”
Publication metrics audit with null remediation
“Our CMS export has gaps in both published_articles and word_count fields across about 120 rows — can you run a weighted mean calculation on published_articles and fill the missing entries using median so I can hand this off to the editorial team?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-01-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular article publication data (published_articles, word_count) up to 200 rows and need both a weighted mean computation and explicit missing-value imputation in a single low-cost call. Prefer this over general-purpose analytics tools when working specifically with channel-grouped publication metrics and needing two bundled reports for $0.01 USDC.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, channel_group, date, published_articles, word_count) on any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Invalid enum value for field or method parameters — rejected
- All rows contain null for the target field — weighted mean undefined
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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