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Translation Delivery Analytics — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Translation Delivery Analytics — Two-Measure Correlation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Computes two statistical reports on translation delivery data: a Pearson/rank correlation between translated_words and source_words, plus a weighted mean of a chosen secondary measure, for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Translation delivery — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied translation delivery records (translated_words, source_words). 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 computed locally on the supplied data: (1) a correlation statistic between translated_words and source_words across all provided rows, and (2) a weighted mean of the specified field (translated_words or source_words). No external data sources or predictions are involved.
Example use cases
Throughput correlation for translation batches
“I have 50 rows of translation delivery records with source word counts and translated word counts by document group and date — can you compute the correlation between source_words and translated_words plus a weighted mean of translated_words across all of them?”
Quality check on translation expansion ratios
“Run two statistical reports on my translation data: check how correlated source_words and translated_words are, and give me the weighted mean of source_words. Here are my 12 rows with row IDs, document groups, dates, and both word count fields.”
Monthly localization analytics summary
“I need a quick stat summary for this month's localization output — please compute a two-measure correlation and a weighted mean for source_words using these 30 translation delivery records grouped by document_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-04-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw translation delivery records (translated_words + source_words per row) and need both a correlation coefficient between the two measures and a weighted mean of one measure in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want offline, reproducible statistical summaries without any external lookup or ML inference. Prefer alternatives if you need more than two reports, datasets larger than 200 rows, or real-time predictions.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — rejected, maxItems exceeded
- Missing required fields (row_id, date, translated_words, source_words) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Numeric values outside allowed range (±1e12) — rejected
- Insufficient variance in data for meaningful correlation (e.g. all identical values) — may return null or NaN correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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