{"uid":"cap_UaqLCE3PpnZ1hzQrBS-tF","slug":"duplicate-observations-analytics-numeric-row-ordering-daily-sum-series-06544ed0","name":"Duplicate Observations Analytics: Numeric Row Ordering + Daily Sum Series","description":"Duplicate observations — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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-04-114?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_hlV3vNu-A1t2A2L2FecVt","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":"Generates two local analytical reports — numeric row ordering and daily sum series — for supplied duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows.","exampleAgentPrompt":"Can you run the numeric row ordering and daily sum series reports on my duplicate observation data? Here are the records: row-1 on 2026-10-01 for group-a with 10 duplicate_rows out of 1 total, row-2 on 2026-10-02 for group-b with 20 duplicate_rows out of 2 total — analyze the duplicate_rows field.","exampleUseCases":[{"title":"Daily duplicate trend across dataset groups","prompt":"I have a week of duplicate-observation records across two dataset groups and I want to see both the numeric row ranking and the daily sum series for duplicate_rows — can you run those two reports on my data?"},{"title":"Data quality audit by total row count","prompt":"Run the numeric row ordering and daily sum series analytics on my dataset records using total_rows as the field — I want to see how total rows rank and accumulate per day across groups."},{"title":"Identifying peak duplication days","prompt":"I've got 50 rows of duplicate observation data with dates and dataset groups — can you compute the daily sum series and row ordering for duplicate_rows so I can spot which days had the most duplication?"}],"resultDescription":"Two analytical reports returned together: (1) a numeric row ordering of the supplied records ranked by the chosen field (duplicate_rows or total_rows), and (2) a daily sum series aggregating that field by date — all computed locally without external lookups or live data access, for up to 200 input rows.","failureModes":["Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors","More than 200 rows submitted causes rejection at maxItems limit","Malformed date strings not matching YYYY-MM-DD pattern fail schema validation","Null values in numeric fields may affect aggregation results","Invalid field enum value (anything other than 'duplicate_rows' or 'total_rows') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have structured duplicate-observation records with date, group, and numeric duplicate/total row counts, and need both a ranked row ordering and a daily sum series in a single low-cost call. It is best for data quality monitoring, ETL pipeline auditing, and deduplication trend analysis where no external data or predictions are needed — just fast local computation on supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:53.037Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-numeric-row-ordering-daily-sum-series-06544ed0"}