{"uid":"cap_hgfrEcglO8m-QbZD1sHid","slug":"duplicate-observations-analytics-daily-sum-series-equal-width-histogram-4de7f844","name":"Duplicate Observations Analytics — Daily Sum Series + Equal-Width Histogram","description":"Duplicate observations — Daily sum series + Equal-width histogram: Daily sum series + Equal-width histogram 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-04-139?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_8cHub42x4kScOHqq79cRn","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 (daily sum time series and equal-width histogram) for supplied duplicate-observation records with duplicate_rows and total_rows fields.","exampleAgentPrompt":"Analyze these duplicate observation records — up to 50 rows with date, row_id, dataset_group, duplicate_rows, and total_rows — and give me both a daily sum time series and an equal-width histogram with 10 bins for the duplicate_rows field.","exampleUseCases":[{"title":"Daily duplicate trend for data pipeline audit","prompt":"I have 120 records from my ETL pipeline audit, each with a date, dataset_group, duplicate_rows, and total_rows. Can you generate a daily sum series and a 5-bin histogram on the duplicate_rows field so I can see where duplicates are spiking over time?"},{"title":"Data quality report for multiple dataset groups","prompt":"Here are 80 data quality log entries across two groups — group-alpha and group-beta — with dates ranging over the last quarter. Give me the daily sum series and an equal-width histogram with 8 bins on total_rows so I can compare duplicate rates."},{"title":"Histogram distribution of duplicate rows for QA review","prompt":"I need to understand the distribution of duplicate_rows across our ingestion records for October. I have 60 entries with row_id, date, dataset_group, duplicate_rows, and total_rows — please run a daily sum series and a 10-bin equal-width histogram on duplicate_rows."}],"resultDescription":"Returns two analytical reports computed locally on the supplied data: (1) a daily sum time series aggregating the chosen field (duplicate_rows or total_rows) by date, and (2) an equal-width histogram with the specified number of bins (1–30) showing the distribution of values across all supplied rows. No external data is fetched; all computation is performed on the provided records.","failureModes":["Missing required fields (row_id, date, duplicate_rows, total_rows) causes validation error","Date values not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows in the rows array returns an error","Invalid bins value outside 1–30 range is rejected","Null numeric values in duplicate_rows or total_rows may affect aggregation output","Empty rows array (minItems: 1 not met) returns validation failure"],"whenToPreferThis":"Choose this endpoint when you have tabular duplicate-observation data (with duplicate_rows and total_rows per dated record) and need both a time-series daily sum and a histogram distribution computed offline without any external lookups. It is ideal for data quality audits, ETL pipeline monitoring, or QA reviews where you want two complementary statistical views in a single cheap call ($0.01 USDC for up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:31.529Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-daily-sum-series-equal-width-histogram-4de7f844"}