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Translation Delivery Analytics — Trailing Mean Series + Adjacent Row Changes
x402
Translation Delivery Analytics — Trailing Mean Series + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Computes trailing moving-average series and adjacent row-to-row change analysis for translation delivery records (translated_words, source_words) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Translation delivery — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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 for the supplied data: (1) a trailing moving-average series computed over the selected field (translated_words or source_words) using the specified window size, and (2) an adjacent row change series showing the difference between consecutive rows. Both reports are derived locally from the submitted data with no external lookups.
Example use cases
Monthly translation throughput trend review
“Here are 50 rows of our translation delivery records by date and document group — run the trailing mean series and adjacent row changes for translated_words using a window of 5 so I can see how throughput is trending week over week.”
Source word volume shift detection
“I've got 30 rows of localization records with source_words and dates. Can you compute the trailing mean with window 4 and adjacent row changes on source_words so I can spot where volumes shifted significantly between jobs?”
Document group delivery analysis
“Run trailing mean series and row-to-row change analysis on these 20 translation delivery entries — use translated_words as the field and a window of 2 — I want to see which document groups have the most volatility in delivery size.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-04-146?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have translation delivery records and need quick statistical summaries — specifically trailing moving averages and adjacent row deltas — without needing predictions, external data enrichment, or professional assessment. Ideal for small to medium datasets (up to 200 rows) where you want two complementary time-series analytics in a single low-cost call.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Window size larger than the number of submitted rows — may produce sparse or empty series
- Missing required fields (row_id, document_group, date) — request rejected
- Non-numeric values in translated_words or source_words fields — parsing error
- Invalid field enum value (must be 'translated_words' or 'source_words') — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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