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Translation Delivery Analytics — Trailing Mean Series + Keyed Dataset Comparison
x402
Translation Delivery Analytics — Trailing Mean Series + Keyed Dataset Comparison 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 mean time series and a keyed dataset comparison for up to 200 translation delivery records (translated_words, source_words) across two supplied datasets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Translation delivery — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 independent analytical reports: (1) a trailing mean series showing rolling averages of the selected field (translated_words or source_words) over time, and (2) a keyed dataset comparison that matches rows by key across the two supplied datasets and surfaces numeric differences — all computed locally without any external lookups.
Example use cases
Monthly translation volume trend analysis
“Here are my translation delivery records for Q3 — each row has a date, document group, translated_words, and source_words. Can you compute a trailing mean series for translated_words so I can see how our output volume trended over the quarter?”
Comparing two translator team outputs
“I have two sets of translation delivery records from our two vendor teams, both with row_id, document_group, date, translated_words, and source_words. Run a keyed dataset comparison on source_words to show me where the two teams differ row by row.”
Localization project QA across document groups
“We have before-and-after translation delivery data — same row IDs and document groups but different translated_words counts. Can you do a trailing mean series plus a keyed comparison on translated_words to flag which document groups drifted the most?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-04-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing mean time series and a keyed cross-dataset comparison for translation delivery data (translated_words, source_words) in a single call, up to 200 rows, with no external data access required. Ideal for localization teams comparing vendor outputs, auditing translation volume trends, or validating consistency between two record batches.
Side effects
- Fewer than 1 or more than 200 rows causes validation failure
- Missing required fields (row_id, document_group, date, translated_words, source_words) causes rejection
- Invalid date format (not YYYY-MM-DD) causes schema error
- Numeric values outside ±1,000,000,000,000 range are rejected
- Mismatched keys between primary and comparison datasets result in unmatched rows in comparison report
- Payment of 0.01 USDC not provided results in 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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