{"uid":"cap_8RmTAh7ck0JQRQHayeu-9","slug":"dataset-storage-record-quality-audit-deduplication-category-frequencies-25c96bad","name":"Dataset Storage Record Quality Audit + Deduplication + Category Frequencies","description":"Dataset storage — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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-18-212?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}}},"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_h6L_AhT2PxAHTbYn6bcDN","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 analytical reports on dataset storage records: a record quality audit, exact row deduplication check, and category frequency counts for dataset_group fields — all in one call for up to 200 rows.","exampleAgentPrompt":"Can you audit these dataset storage records for quality issues, find any exact duplicate rows, and count how many times each dataset_group appears? Here are my records: row-1 on 2026-10-01 for group-a with 10 MB used and 1 row, row-2 on 2026-10-02 for group-b with 20 MB and 2 rows, and row-3 on 2026-10-03 for group-a with 15 MB and 3 rows.","exampleUseCases":[{"title":"Storage log data quality check","prompt":"I have a batch of dataset storage logs and want to know if there are any quality issues — nulls, bad dates, missing IDs — and also whether any rows are exact duplicates. Can you run a full quality audit and dedup check on these records? I have about 80 rows across dataset groups like 'warehouse-prod' and 'archive-cold'."},{"title":"Category frequency breakdown for storage groups","prompt":"Can you tell me how frequently each dataset_group appears in my storage records? I want to see which groups like 'group-a', 'group-b', and 'group-c' show up most often across my 150 rows so I can understand the distribution."},{"title":"Combined three-report analytics before pipeline handoff","prompt":"Before I hand off this dataset to our pipeline, can you run all three reports — quality audit, exact row deduplication, and category frequencies for dataset_group — on my 200 storage records? I want to make sure the data is clean and understand the group breakdown."}],"resultDescription":"Returns three separate analytical reports in one response: (1) a record quality audit flagging nulls, formatting issues, and completeness problems in each row; (2) an exact row deduplication report identifying identical rows; and (3) category frequency counts showing how often each dataset_group value appears across the supplied records.","failureModes":["Submitting more than 200 rows returns an error — batch must be split","Missing required fields (row_id, dataset_group, date, used_mb, row_count) cause validation failure","Dates not matching YYYY-MM-DD pattern are rejected","Payment of 0.01 USDC via x402 must be included or the call is rejected","Empty rows array (minItems: 1 not met) causes schema validation error"],"whenToPreferThis":"Choose this endpoint when you need all three analytical operations — quality audit, deduplication, and category frequency — run together in a single cheap call on a small batch of dataset storage records (up to 200 rows). It is ideal for pre-pipeline data validation of storage usage data with used_mb and row_count fields. If you only need one of the three reports, this still provides good value at $0.01 for the bundle. Prefer alternatives if your dataset exceeds 200 rows or if you need live data lookup, predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:01.139Z","isFirstParty":false,"canonicalSlug":"dataset-storage-record-quality-audit-deduplication-category-frequencies-25c96bad"}