{"uid":"cap_hza6R6miJb94UaJyyGKSW","slug":"duplicate-observations-string-normalisation-daily-sum-series-analytics-593fb1bd","name":"Duplicate Observations — String Normalisation + Daily Sum Series Analytics","description":"Duplicate observations — String normalisation + Daily sum series: String normalisation + 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-04-027?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_dkfPxOEWSv3s2-EsfJFpH","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 duplicate observation records by performing string normalization and generating daily sum series reports for up to 200 rows across dataset groups.","exampleAgentPrompt":"Can you analyze these duplicate observation records and give me both a string-normalized summary and a daily sum series for the duplicate_rows field? I have data for groups like group-a and group-b from October 2026, up to 200 rows.","exampleUseCases":[{"title":"Daily duplicate rate monitoring","prompt":"I have a list of up to 150 dataset records with dates, group names, duplicate_rows counts, and total_rows counts spanning October 2026 — can you run the string normalization and daily sum series reports on the duplicate_rows field so I can see how duplicates are trending day by day?"},{"title":"Data quality audit by group","prompt":"We've got two dataset groups, group-a and group-b, and I need to understand the daily duplicate row totals for each. Can you normalize the group labels and produce a daily sum series on total_rows for these 80 records I'm sending?"},{"title":"Pre-pipeline dedup analysis","prompt":"Before I load this batch of observation records into our data warehouse, I want to understand the duplication landscape — can you normalize the dataset group names and give me a day-by-day sum of duplicate_rows across all 60 rows so I know where the hotspots are?"}],"resultDescription":"Two independent analytical reports: (1) a string-normalized view of the supplied observation records (standardizing dataset_group and other string fields), and (2) a daily sum series aggregating the specified numeric field (duplicate_rows or total_rows) across all input rows by date. Results are computed locally from supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, dataset_group, duplicate_rows, total_rows) on any row causes validation failure","Date field not matching YYYY-MM-DD pattern results in schema rejection","Numeric values outside ±1,000,000,000,000 range cause validation error","Empty rows array (minItems:1 not met) returns error","Invalid field enum value (not 'duplicate_rows' or 'total_rows') rejected"],"whenToPreferThis":"Choose this endpoint when you have raw duplicate observation records (with date, group, duplicate_rows, and total_rows fields) and need both a normalized string view and a daily aggregated time series in a single low-cost call. Ideal for data quality pipelines, deduplication audits, and monitoring duplicate trends over time without requiring an external database or live data connection. Best when batch size is ≤200 rows and you want two complementary analytical perspectives for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:09:38.529Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-string-normalisation-daily-sum-series-analytics-593fb1bd"}