{"uid":"cap_t8fCDCp2xrirWzaMYc2Dr","slug":"translation-delivery-analytics-category-frequencies-keyed-dataset-5bfd5ded","name":"Translation Delivery Analytics — Category Frequencies & Keyed Dataset Comparison","description":"Translation delivery — Category frequencies + Keyed dataset comparison: Category frequencies + 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-writing-04-111?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"translated_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_words":1,"document_group":"group-a","translated_words":10},{"date":"2026-10-02","row_id":"row-2","source_words":2,"document_group":"group-b","translated_words":20},{"date":"2026-10-03","row_id":"row-3","source_words":3,"document_group":"group-a","translated_words":15},{"date":"2026-10-04","row_id":"row-4","source_words":4,"document_group":"group-b","translated_words":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","translated_words","source_words"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","source_words":3,"document_group":"group-a","translated_words":17},{"date":"2026-10-04","row_id":"row-4","source_words":4,"document_group":"group-b","translated_words":33}],"maxItems":200,"minItems":0}}},"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_IoM7hsN1BAvXWyKq0dhV-","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":"Analyzes up to 200 translation delivery records by computing category frequencies across document groups and comparing two keyed datasets of translated/source word counts side by side.","exampleAgentPrompt":"I have two batches of translation delivery records — each with row IDs, document groups, dates, translated word counts, and source word counts — can you run a category frequency breakdown by document group and also compare the two datasets row by row to surface differences in word counts? Here's the first batch: row-1, group-a, 2025-01-01, 500 translated, 450 source; row-2, group-b, 2025-01-02, 800 translated, 700 source. And the second batch with the same row IDs but slightly different counts.","exampleUseCases":[{"title":"Monthly translation volume audit by category","prompt":"I have 150 translation delivery records from last month, each tagged with a document group like 'legal', 'marketing', or 'technical'. Can you tell me how frequently each document group appears and how the word counts break down per category? Here are the rows with row IDs, dates, translated word counts, and source word counts."},{"title":"Comparing two translator outputs for the same job","prompt":"I sent the same 80 source documents to two different translation vendors and got back word count logs from each — same row IDs but different translated_words figures. Can you compare the two datasets row by row and show me where the translated word counts differ, plus give me the category frequency breakdown for each vendor's document groups?"},{"title":"Translation delivery quality drift check","prompt":"I have this quarter's translation delivery records as my main dataset and last quarter's as a reference — both have up to 120 rows with row IDs, document groups, dates, translated words, and source words. Can you run a category frequency report on the current quarter and a keyed comparison against last quarter to see where word counts have shifted?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency report showing how often each document_group value appears across the supplied rows, and (2) a keyed dataset comparison report matching rows by row_id across the two supplied datasets and highlighting differences in translated_words and source_words values. Both reports are computed locally with no external lookups.","failureModes":["Exceeding 200 rows per dataset returns a validation error","Missing required fields (row_id, document_group, date, translated_words, source_words) causes row rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","row_id values exceeding 80 characters are rejected","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems:1 not met) causes a schema error","Payment of 0.01 USDC not fulfilled results in HTTP 402 response"],"whenToPreferThis":"Choose this endpoint when you have structured translation delivery records and need two complementary analytical views — category frequency distribution and row-keyed dataset comparison — in a single low-cost call. It is ideal for localization teams comparing vendor outputs, auditing translation batch consistency, or spotting word count discrepancies between two delivery snapshots. It does not perform live translation, fetch external data, or provide linguistic quality assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:35.697Z","isFirstParty":false,"canonicalSlug":"translation-delivery-analytics-category-frequencies-keyed-dataset-5bfd5ded"}