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Translation Delivery String Normalisation and IQR Outlier Flags
x402
Translation Delivery String Normalisation and 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 2026-10-29).
Normalises string fields and flags IQR-based outliers in translation delivery records (translated_words, source_words) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Translation delivery — String normalisation + IQR outlier flags: String normalisation + 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
Two analytical reports per call: one covering string normalisation of the supplied translation delivery fields (document_group and related string columns) and one covering IQR-based outlier flags for the chosen numeric field (translated_words or source_words) across up to 200 rows, with per-row outlier annotations derived from local statistical computation.
Example use cases
Audit translation vendor word counts
“I have 120 translation delivery records from this month with translated_words and source_words per job — can you normalise the document group strings and flag any IQR outliers in the translated_words column so I can spot suspicious invoices?”
QA check on localization batch
“Run string normalisation and IQR outlier flagging on my localization batch data — here are 80 rows with row_id, document_group, date, source_words, and translated_words — flag outliers based on source_words this time.”
Translation project anomaly detection
“I'm reviewing 200 rows of translation delivery data across multiple document groups and dates — can you normalise the strings and use IQR to identify which rows have unusually high or low translated_words counts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-04-032?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical analysis of translation delivery records — specifically IQR outlier detection and string normalisation — without requiring external lookups, live predictions, or professional linguistic assessment. Ideal for auditing translation vendor invoices, QA-checking localization batches, or detecting anomalous word counts in up to 200 rows for $0.01 USDC per call.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, document_group, date, translated_words, source_words) cause validation errors
- Invalid date format (must be YYYY-MM-DD) triggers schema rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Too few rows to compute a meaningful IQR may produce degenerate outlier flags
- Invalid field enum value (not translated_words or source_words) causes an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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