{"uid":"cap_DOaTt2uK5Xvw01Rc63FCk","slug":"dataset-partition-sizes-analytics-record-quality-audit-exact-row-f001b675","name":"Dataset Partition Sizes Analytics — Record Quality Audit, Exact Row Deduplication & Equal-Width Histogram","description":"Dataset partition sizes — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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-07-219?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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"}}},"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_ERhr7zJJug_qwp1XBwz49","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 equal-width histogram) on user-supplied dataset partition size records containing row counts and file sizes.","exampleAgentPrompt":"Can you run the three-report analytics package on my dataset partition records — a quality audit, exact deduplication check, and a 10-bin histogram on row_count — for these 5 rows: [{\"row_id\":\"p1\",\"dataset_group\":\"sales\",\"date\":\"2024-01-01\",\"row_count\":50000,\"file_mb\":120.5}, {\"row_id\":\"p2\",\"dataset_group\":\"sales\",\"date\":\"2024-01-02\",\"row_count\":48000,\"file_mb\":115.2}, {\"row_id\":\"p3\",\"dataset_group\":\"events\",\"date\":\"2024-01-01\",\"row_count\":50000,\"file_mb\":120.5}, {\"row_id\":\"p4\",\"dataset_group\":\"events\",\"date\":\"2024-01-03\",\"row_count\":null,\"file_mb\":88.0}, {\"row_id\":\"p5\",\"dataset_group\":\"sales\",\"date\":\"2024-01-04\",\"row_count\":62000,\"file_mb\":140.0}]?","exampleUseCases":[{"title":"Data pipeline partition quality check","prompt":"I have 80 dataset partition records from our nightly ETL — each has a row_id, dataset_group, date, row_count, and file_mb. Can you run the quality audit, deduplication check, and a 5-bin histogram on file_mb to see if anything looks off?"},{"title":"Duplicate partition detection before merge","prompt":"Before I merge these 150 partition size records into our data catalog, can you run the exact row deduplication report and quality audit on them, using row_count as the histogram field with 8 bins? I want to catch any exact duplicates or nulls first."},{"title":"Distribution analysis of dataset sizes","prompt":"I'd like a 15-bin equal-width histogram on the row_count field for my 200 dataset partition records grouped across three teams — along with the quality audit and dedup report — so I can understand the size distribution before archiving."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and format issues in the supplied rows; (2) an exact row deduplication report identifying identical records; and (3) an equal-width histogram over the selected numeric field (row_count or file_mb) with the specified number of bins, all computed locally without any external lookups.","failureModes":["Exceeds 200-row limit — request rejected with validation error","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","bins parameter outside 1–30 range returns schema validation error","Missing required fields (row_id, dataset_group, date, row_count, file_mb) causes item-level rejection","Null values in the histogram target field may reduce histogram coverage","Payment of 0.01 USDC not fulfilled — 402 response returned before processing"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical reports (quality audit, deduplication, histogram) on dataset partition size records without any external data lookups or ML inference. It is purpose-built for row_count and file_mb fields with a structured schema, making it ideal for data engineering pipelines that need lightweight, reproducible, local-only analytics on up to 200 partition records in a single cheap call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:11.899Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-analytics-record-quality-audit-exact-row-f001b675"}