{"uid":"cap_H6Wnlr44Owlq3SiTanT_Y","slug":"dataset-partition-sizes-record-quality-audit-exact-row-deduplication-5756b3dd","name":"Dataset Partition Sizes — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series","description":"Dataset partition sizes — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied dataset partition sizes records (row_count, file_mb). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-07-216?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","row_count","file_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"file_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","file_mb":1,"row_count":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","file_mb":2,"row_count":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","file_mb":3,"row_count":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","file_mb":4,"row_count":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["row_count","file_mb"],"type":"string","default":"row_count"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_bM8yaxO_ILUb9-vyx22mr","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":"Runs three independent analytical reports (record quality audit, exact row deduplication, and trailing mean series) on dataset partition size records containing row counts and file sizes.","exampleAgentPrompt":"Run a record quality audit, exact row deduplication, and trailing mean series on my dataset partition size records — I have 4 rows with row_count and file_mb fields, using a window of 2, and I want the trailing mean computed on row_count.","exampleUseCases":[{"title":"Partition log quality check","prompt":"I have a list of 50 dataset partition records with row_count and file_mb going back a few months — can you audit them for quality issues, flag any duplicate rows, and give me a trailing 7-day mean series on row_count?"},{"title":"Deduplication before pipeline run","prompt":"Before I process my pipeline, I need to deduplicate this set of 120 partition size records and also get a quality audit so I can see which rows have nulls or anomalies — can you run both reports on this data?"},{"title":"Rolling file size trend analysis","prompt":"Can you compute a trailing mean series with a window of 5 on the file_mb column across my dataset partition records, and also run the quality audit and deduplication reports at the same time so I get all three in one shot?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit identifying missing values, invalid fields, or anomalies across the supplied rows; (2) an exact row deduplication report listing duplicate records found in the input; and (3) a trailing mean series computed over the specified numeric field (row_count or file_mb) using the given sliding window size. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, row_count, file_mb) on any row — validation error","Invalid date format (must match YYYY-MM-DD) — schema rejection","Window size less than 2 or greater than 200 — parameter error","Field enum value not 'row_count' or 'file_mb' — validation failure","Empty rows array (minItems: 1 not satisfied) — rejection"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical operations — quality audit, deduplication, and trailing mean — on dataset partition size data (row_count, file_mb) in a single low-cost call. It is ideal for data engineering pipelines that need lightweight, offline analysis of partition logs without hitting external databases or prediction services. Prefer it over single-report endpoints when you need all three reports together for up to 200 rows at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:42.938Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-record-quality-audit-exact-row-deduplication-5756b3dd"}