{"uid":"cap_V9q0hhbweyu2P2EfZxF11","slug":"translation-delivery-analytics-deduplication-grouped-numeric-summary-61d0edf1","name":"Translation Delivery Analytics — Deduplication + Grouped Numeric Summary","description":"Translation delivery — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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-04-040?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_-gPrMMwT4vEXwzsohzQA4","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":"Deduplicates translation delivery rows and produces a grouped numeric summary of translated_words or source_words across up to 200 records.","exampleAgentPrompt":"I have translation delivery records with document groups, dates, translated word counts, and source word counts — can you deduplicate them and give me a grouped numeric summary of translated_words? Here are the rows: [{\"row_id\":\"r1\",\"document_group\":\"legal\",\"date\":\"2025-01-10\",\"translated_words\":500,\"source_words\":450},{\"row_id\":\"r2\",\"document_group\":\"marketing\",\"date\":\"2025-01-11\",\"translated_words\":300,\"source_words\":280},{\"row_id\":\"r1\",\"document_group\":\"legal\",\"date\":\"2025-01-10\",\"translated_words\":500,\"source_words\":450}].","exampleUseCases":[{"title":"Monthly translation invoice reconciliation","prompt":"I need to clean up this month's translation delivery log — deduplicate any repeated rows and give me a grouped summary of translated_words by document_group so I can verify the invoice totals. Here are my records across groups like 'legal', 'marketing', and 'technical'."},{"title":"Cross-team localization output audit","prompt":"Our localization team submitted 150 translation delivery records across several document groups. Can you remove exact duplicates and then summarize the source_words totals grouped by document_group so we can see which teams contributed the most?"},{"title":"Translation vendor performance summary","prompt":"I have up to 180 rows of translation delivery data from multiple vendors, each tagged with a document_group and a date. Please deduplicate the records and give me a grouped numeric breakdown of translated_words per group so I can compare vendor output."}],"resultDescription":"Returns two reports: (1) a deduplicated set of input rows with exact duplicate records removed, and (2) a grouped numeric summary of the selected field (translated_words or source_words) aggregated by document_group, including statistics such as count, sum, and mean per group.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, document_group, date, translated_words, source_words) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range — rejected","Empty rows array — request rejected"],"whenToPreferThis":"Choose this endpoint when you have translation delivery records (up to 200 rows) that may contain duplicates and you need both a cleaned dataset and a grouped numeric breakdown of word counts by document group — all in a single low-cost ($0.01 USDC) call. It is ideal for invoice reconciliation, vendor output auditing, or localization reporting where no external lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:12.146Z","isFirstParty":false,"canonicalSlug":"translation-delivery-analytics-deduplication-grouped-numeric-summary-61d0edf1"}