{"uid":"cap_C8DwQn773zd3OBVW8tmj8","slug":"duplicate-observations-analytics-row-ordering-equal-width-histogram-0136d5c4","name":"Duplicate Observations Analytics: Row Ordering + Equal-Width Histogram","description":"Duplicate observations — Numeric row ordering + Equal-width histogram: Numeric row ordering + 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-04-118?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_mO0wnSSCg1NLvdK_iJwS-","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 equal-width histogram — for supplied duplicate_rows and total_rows observation data.","exampleAgentPrompt":"Can you run a numeric row ordering report and an equal-width histogram with 10 bins on my duplicate observations data — I have 4 records for group-a and group-b from October 2026 with duplicate_rows values of 10, 20, 15, and 30 out of totals of 1, 2, 3, and 4 — and I want to analyze the duplicate_rows field?","exampleUseCases":[{"title":"Data quality audit histogram","prompt":"I have a list of 50 dataset groups with their duplicate_rows and total_rows counts per day in October — can you build an equal-width histogram with 8 bins and a numeric row ranking on the duplicate_rows field so I can see where duplication is concentrated?"},{"title":"Ranking datasets by duplicate severity","prompt":"Here are 30 records from our ETL pipeline tracking duplicate row counts per dataset group by date — run the numeric row ordering and histogram reports on total_rows with 5 bins so I can rank which datasets have the worst duplication issues."},{"title":"Monthly duplicate trend binning","prompt":"I've collected duplicate_rows and total_rows for our data warehouse tables across November — can you generate a 15-bin equal-width histogram and numeric ordering report on duplicate_rows to understand the distribution of duplicates across our tables?"}],"resultDescription":"Returns two analytical reports computed locally on the supplied data: (1) a numeric row ordering report ranking the input records by the selected field (duplicate_rows or total_rows), and (2) an equal-width histogram report dividing the selected field's values into the specified number of equal-width bins with counts per bin. No external lookups or predictions are made; all computation is performed on the provided data (up to 200 rows).","failureModes":["More than 200 rows supplied — request will be rejected","Invalid date format not matching YYYY-MM-DD pattern","bins value outside 1–30 range","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows)","Null values in numeric fields may affect histogram bin calculation","field enum value not one of 'duplicate_rows' or 'total_rows'"],"whenToPreferThis":"Choose this endpoint when you need both a ranked ordering of records AND a histogram distribution for duplicate observation data in a single call. It is ideal for data quality profiling workflows where you want to understand the distribution and ordering of duplicate row counts across dataset groups without sending data to an external ML or prediction service. Best suited for batch analytical snapshots of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:46:18.944Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-row-ordering-equal-width-histogram-0136d5c4"}