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Translation Delivery Analytics — Two-Measure Correlation + Missing-Value Fill
x402
Translation Delivery Analytics — Two-Measure Correlation + 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 2026-10-30).
Computes correlation between translated_words and source_words, and fills missing values using zero/mean/median, for up to 200 translation delivery records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Translation delivery — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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: (1) a Pearson correlation coefficient between translated_words and source_words across the supplied rows, and (2) a dataset with explicit missing values filled using the chosen method (zero, mean, or median). Up to 200 rows processed per call. No external lookups or predictions are made.
Example use cases
Localization quality correlation check
“I've got 120 rows of translation job records with source_words and translated_words — can you compute the correlation between those two metrics and flag which rows had nulls filled using the mean method?”
Missing data imputation for translation logs
“My translation delivery export has some null source_words entries. Can you fill those gaps using zero imputation and also give me the correlation report between source and translated word counts across all 80 rows?”
Document group throughput analysis
“I have translation records across two document groups over the past month — about 150 rows — and I want to know how tightly source_words and translated_words correlate. Please also fill any missing translated_words values using the median before computing.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-04-184?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular translation delivery records with translated_words and source_words columns and need both a correlation measure between them and a cleaned dataset with missing values imputed — all in a single, low-cost call. Ideal for localization pipeline QA, translation throughput analysis, or pre-processing data for downstream ML. Prefer this over general-purpose statistical tools when you want a combined correlation + imputation report with a flat per-call price and no external dependencies.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, document_group) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unsupported fill method value outside enum [zero, mean, median] — rejected
- All values in a measure are null — correlation computation returns undefined/NaN
- Fewer than 2 valid numeric rows — correlation cannot be computed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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