{"uid":"cap_hq_SPkmsdZnOjSaLigZs7","slug":"translation-delivery-string-normalisation-and-iqr-outlier-flags-f04d6dbf","name":"Translation Delivery String Normalisation and IQR Outlier Flags","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-writing-04-032?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","translated_words","source_words"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"translated_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_words":1,"document_group":"group-a","translated_words":10},{"date":"2026-10-02","row_id":"row-2","source_words":2,"document_group":"group-b","translated_words":20},{"date":"2026-10-03","row_id":"row-3","source_words":3,"document_group":"group-a","translated_words":15},{"date":"2026-10-04","row_id":"row-4","source_words":4,"document_group":"group-b","translated_words":30}],"maxItems":200,"minItems":1},"field":{"enum":["translated_words","source_words"],"type":"string","default":"translated_words"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_fvJLLATnQAIVH1asHFQLq","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"Can you run string normalisation and IQR outlier detection on my translation delivery records — I have up to 50 rows with row_id, document_group, date, translated_words, and source_words fields, and I want to analyse the translated_words column?","exampleUseCases":[{"title":"Audit translation vendor word counts","prompt":"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?"},{"title":"QA check on localization batch","prompt":"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."},{"title":"Translation project anomaly detection","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T18:36:48.193Z","isFirstParty":false,"canonicalSlug":"translation-delivery-string-normalisation-and-iqr-outlier-flags-f04d6dbf"}