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Translation Delivery Analytics — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Translation Delivery Analytics — Trailing Mean Series + 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 a trailing moving-average series and a source-words-weighted mean for user-supplied translation delivery records (translated_words, source_words) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Translation delivery — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + 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: (1) a trailing moving-average time series for the selected primary field (translated_words or source_words) using the specified window size, and (2) a secondary-measure weighted mean where source_words (or translated_words) acts as the weight — both computed locally over up to 200 supplied rows, with no external data fetched.
Example use cases
Translation throughput trend analysis
“I have daily translation records for the past month across two document groups — legal and marketing. Each row has a date, translated word count, and source word count. Can you compute a trailing mean with a window of 7 days on translated_words and also give me a source-words-weighted mean for those records?”
Localization sprint performance review
“We finished a localization sprint and I want to see how our translation output trended. I've got 50 rows of data with dates, translated_words, source_words, and document group labels. Please calculate a 5-day trailing mean series and a weighted mean using source_words as the weight on the translated_words field.”
Comparing document groups by weighted output
“Can you analyze my translation delivery records for Q3? I have about 120 rows covering three document groups, with translated_words and source_words per day. Give me a trailing mean series with window 10 and the secondary-measure weighted mean so I can compare output quality across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-04-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw translation delivery records (with translated_words and source_words per row) and need both a time-series trailing mean and a weighted mean computed without any external lookup or ML inference — ideal for quick, self-contained statistical summarization of localization throughput data at minimal cost ($0.01 USDC for up to 200 rows).
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (non-YYYY-MM-DD) — schema validation error
- Window size smaller than 2 or larger than 200 — rejected
- Null values in translated_words or source_words may affect weighted mean computation
- Unrecognized field enum value — validation error
- Payment of 0.01 USDC not included or fails — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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