{"uid":"cap_i_ZdTUYRoewlAC4bPB9ol","slug":"duplicate-observations-analytics-category-frequencies-numeric-row-715e8a6b","name":"Duplicate Observations Analytics — Category Frequencies & Numeric Row Ordering","description":"Duplicate observations — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-04-100?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},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_rows"}}},"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_38kQA3nHcL9gWjz1IxQZN","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 duplicate-observation records, producing two local reports: category frequency distribution by dataset_group and numeric row ordering for duplicate_rows or total_rows.","exampleAgentPrompt":"I have a list of duplicate-observation records across groups like 'group-a' and 'group-b' with dates and row counts — can you run the category frequency and numeric row ordering reports on them, analyzing the duplicate_rows field, for up to 200 rows?","exampleUseCases":[{"title":"Data quality audit by group","prompt":"I've got 150 rows of duplicate observation data across several dataset groups — can you analyze the category frequencies to show me which groups have the most duplicate rows and also rank all the records by their duplicate_rows count?"},{"title":"Total rows distribution check","prompt":"Can you run frequency and row-ordering reports on my duplicate observations dataset using the total_rows field? I want to see how often each dataset_group appears and how the rows rank numerically."},{"title":"Pre-pipeline deduplication review","prompt":"Before I clean my pipeline data, I want to understand the duplicate landscape — please analyze these 80 records with date, row_id, dataset_group, duplicate_rows, and total_rows fields, give me the category frequency breakdown and numeric ordering using duplicate_rows."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) a numeric row ordering (ranking) of records by the selected field (duplicate_rows or total_rows). Both reports are computed locally without external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — violates minItems/maxItems constraint","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation failure","Invalid date format (not YYYY-MM-DD) rejected by pattern constraint","field enum value not in ['duplicate_rows','total_rows'] causes rejection","Null numeric values may affect ordering results","row_id or dataset_group strings exceeding 80 characters are rejected"],"whenToPreferThis":"Choose this endpoint when you have a batch of duplicate-observation records (up to 200) and need both a categorical frequency breakdown by dataset group AND a numeric ordering/ranking of those records by a count field — all in a single $0.01 call with no external data dependencies. Prefer this over generic analytics tools when your data specifically includes duplicate_rows and total_rows metrics per group, and you want two complementary views (distribution + ordering) in one shot.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:00.566Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-category-frequencies-numeric-row-715e8a6b"}