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Translation Delivery — Trailing Mean Series + Equal-Width Histogram
x402
Translation Delivery — Trailing Mean Series + Equal-Width Histogram 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 a trailing moving average time series and an equal-width frequency histogram for translation delivery records (translated_words or source_words) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Translation delivery — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram 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 mean series showing the rolling average of the chosen field (translated_words or source_words) over the specified window size, indexed by date/row order; and (2) an equal-width histogram dividing the field's value range into the specified number of bins with frequency counts per bin. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Monitor translation throughput over time
“I have 3 months of daily translation delivery records with translated_words and source_words counts. Can you compute a trailing mean series with a window of 7 days and a 10-bin histogram on the translated_words field to see if our throughput is trending up?”
Audit document group word count distribution
“Here are 150 translation records across several document groups from Q1. Run a trailing mean with window 4 and an equal-width histogram with 8 bins on source_words so I can see the spread of input volumes.”
Compare smoothed output across translation batches
“I have 80 rows of translation delivery data for the past two months. Generate a trailing mean series using a window of 3 and a 5-bin equal-width histogram on translated_words so I can spot any anomalous batches.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-04-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have translation delivery data (translated_words, source_words) and need both a time-smoothed trend view (trailing mean) and a distribution view (histogram) in a single low-cost call. Ideal for localization teams tracking output velocity or auditing volume distributions without setting up a local analytics pipeline. Not suitable if you need forecasting, external data enrichment, or more than 200 rows.
Side effects
- Fewer rows than window size — trailing mean cannot be computed for early rows
- Invalid date format (not YYYY-MM-DD) causes row rejection
- More than 200 rows supplied — request rejected or truncated
- bins parameter out of range (< 1 or > 30) returns validation error
- All values null for selected field — histogram and mean series cannot be computed
- Missing required fields (row_id, date) causes row-level errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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