{"uid":"cap_tzxYePyFPYCFWwDLEpHsj","slug":"duplicate-observations-record-quality-audit-and-category-frequencies-7bbde0ce","name":"Duplicate Observations Record Quality Audit and Category Frequencies","description":"Duplicate observations — Record quality audit + Category frequencies: Record quality audit + Category frequencies for supplied duplicate observations records (duplicate_rows, total_rows). 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-analytics-04-006?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"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_CPn5azjlHykrQ5NUgElLI","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 rows of duplicate-observation data to produce two reports: a record quality audit and category frequency breakdown by dataset group and date.","exampleAgentPrompt":"I have up to 200 rows of duplicate observation data — each row has a row_id, dataset_group, date, duplicate_rows count, and total_rows count — can you run a record quality audit and category frequency report on them?","exampleUseCases":[{"title":"ETL pipeline deduplication audit","prompt":"We ran a deduplication pass on our ETL output and have a list of up to 150 rows, each with a row_id, dataset_group like 'sales' or 'returns', date, plus duplicate_rows and total_rows counts. Can you give me a record quality audit and category frequency breakdown so I know which groups are worst affected?"},{"title":"Monthly data integrity review","prompt":"I need a quality report on our monthly data integrity check — I have 80 rows of results with row_id, dataset_group, date in YYYY-MM-DD format, and counts of duplicate_rows versus total_rows. Please run both the record quality audit and category frequency analysis."},{"title":"Cross-dataset duplicate rate comparison","prompt":"Can you analyze these 60 duplicate observation records across our three dataset groups — 'customers', 'transactions', and 'products' — each row has a row_id, date, duplicate_rows, and total_rows? I want the record quality audit and the category frequency report to compare duplication rates across groups."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit summarizing the integrity and quality characteristics of the supplied duplicate-observation rows, and (2) a category frequency report breaking down occurrences and duplicate rates by dataset_group and date. All computation is performed locally using shared analytical engines with no external lookups or predictions.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes schema rejection","Dates not matching YYYY-MM-DD pattern fail pattern validation","Numeric fields outside the allowed range trigger validation errors","Empty rows array (minItems: 1 not met) returns an error"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit and a category frequency analysis on duplicate observation data in a single call at low cost ($0.01 USDC). It is ideal for batch sizes up to 200 rows where you want offline, deterministic analysis of duplicate_rows versus total_rows ratios across dataset groups — without needing live lookups, predictions, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:17.998Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-record-quality-audit-and-category-frequencies-7bbde0ce"}