{"uid":"cap_KUSmz-ZfNALkbrmpA4IU3","slug":"dataset-storage-analytics-record-quality-audit-exact-row-307207b3","name":"Dataset Storage Analytics: Record Quality Audit, Exact Row Deduplication & Adjacent Row Changes","description":"Dataset storage — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes for supplied dataset storage records (used_mb, row_count). 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-18-217?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_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","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"}}},"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_mDghz0PGY28AMpGWLk2lX","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 local analytical reports on dataset storage records (used_mb or row_count): record quality audit, exact row deduplication, and adjacent row change detection — no external lookups.","exampleAgentPrompt":"Can you run a quality audit, exact deduplication check, and adjacent row change report on these dataset storage records — the rows have fields like used_mb and row_count, and I want to analyze used_mb specifically? I have about 50 rows across groups like 'group-a' and 'group-b' spanning October 2026.","exampleUseCases":[{"title":"Storage log deduplication before ETL load","prompt":"I have 120 rows of dataset storage logs with row_id, dataset_group, date, used_mb, and row_count — can you run an exact duplicate check, a quality audit, and an adjacent row change analysis on used_mb so I can clean them up before loading into our warehouse?"},{"title":"Data quality gate for storage usage pipeline","prompt":"Before we ingest today's dataset storage snapshot into production, can you audit the record quality, flag any exact duplicate rows, and highlight adjacent date-over-date changes in row_count for these 80 records across our storage groups?"},{"title":"Investigating anomalies in dataset growth metrics","prompt":"Something looks off in our dataset growth numbers — can you run the quality audit, deduplication report, and adjacent changes analysis on row_count for these 45 storage records from November 2026 and tell me what you find?"}],"resultDescription":"Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging nulls, out-of-range values, and formatting issues; (2) an exact row deduplication report identifying identical records; and (3) an adjacent row change report showing value deltas between consecutive rows for the selected field (used_mb or row_count). All computed locally with no external data enrichment.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding maxItems limit","Missing required fields (row_id, dataset_group, date, used_mb, row_count) causes validation failure","Invalid date format (not YYYY-MM-DD) causes schema rejection","Field enum value not in ['used_mb','row_count'] causes error","Payment not included or insufficient — x402 payment of 0.01 USDC required per call","Empty rows array (minItems: 1 not met) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need three combined data-quality reports (quality audit + exact deduplication + adjacent row changes) on dataset storage records in a single low-cost call. Prefer it over generic data profiling tools when your data specifically uses the dataset storage schema (used_mb, row_count, dataset_group, date) and you want all three analyses bundled for $0.01. Not suitable if you need predictive analytics, live storage lookups, or more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:26.949Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-record-quality-audit-exact-row-307207b3"}