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Translation Delivery — Numeric Row Ordering + IQR Outlier Flags
x402
Translation Delivery — Numeric Row Ordering + IQR Outlier Flags 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).
Sorts translation delivery records by a numeric field and flags statistical outliers using IQR analysis, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Translation delivery — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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) rows sorted by the selected numeric field (translated_words or source_words) in ascending or descending order, and (2) each row flagged with an IQR-based outlier indicator showing which records fall outside the expected interquartile range. No external data is fetched; all analysis is performed on the supplied rows only.
Example use cases
Detect anomalous translation batch volumes
“I have 20 translation delivery records with translated_words and source_words counts — can you rank them by translated_words and tell me which ones are statistical outliers based on IQR? I want to catch any jobs that look unusually large or small before invoicing.”
QA review of translation project output
“Sort these translation project rows by source_words and flag any IQR outliers — I'm reviewing delivery quality across document groups and need to spot records that deviate significantly from the norm. I'll paste in the rows with their dates and group labels.”
Audit word count ratios across document groups
“Can you take my 50 translation delivery records and order them numerically by translated_words, then run IQR outlier detection on the same field? I want to see which document groups consistently produce extreme values versus the rest.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-04-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 translation delivery records and need both numeric rank ordering and IQR-based outlier detection in a single call without any external data lookups or predictions. It is ideal for QA workflows, invoice auditing, or anomaly detection on localization project data where you already have the records and want fast, local statistical analysis on either translated word counts or source word counts.
Side effects
- Fewer than 1 row or more than 200 rows supplied — 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
- Null values in the selected numeric field may reduce outlier detection accuracy
- Field enum value not one of 'translated_words' or 'source_words' — invalid input
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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