{"uid":"cap_1XBIOsymZHHgbSsC-evdc","slug":"duplicate-observations-grouped-numeric-summary-equal-width-histogram-1a8ab5e7","name":"Duplicate Observations — Grouped Numeric Summary + Equal-Width Histogram","description":"Duplicate observations — Grouped numeric summary + Equal-width histogram: Grouped numeric summary + 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-04-093?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_jX9AzQHMjVz528-cGz60t","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 producing a grouped numeric summary and an equal-width histogram for either the duplicate_rows or total_rows field, across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and equal-width histogram on these duplicate observation records — I have 4 rows across groups 'group-a' and 'group-b' with dates in October 2026, analyze the duplicate_rows field using 5 bins?","exampleUseCases":[{"title":"Data quality audit by dataset group","prompt":"I have 150 records from our nightly data quality check, each with a dataset_group, date, duplicate_rows, and total_rows. Can you group them and give me a numeric summary plus a 10-bin histogram of the duplicate_rows field so I can see which groups have the worst duplication?"},{"title":"Monitoring duplicate trends over time","prompt":"Here are 80 daily duplicate observation records across three dataset groups from last quarter. Run a grouped numeric summary and a 7-bin equal-width histogram on the total_rows field so I can spot any anomalies."},{"title":"Comparing duplication rates before and after dedup pipeline","prompt":"I've got two batches of duplicate observation rows — before and after running our deduplication pipeline — labeled as group-a and group-b respectively. Give me a grouped summary and a 5-bin histogram on duplicate_rows so I can see how much the pipeline helped."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary breaking down statistics for the chosen field (duplicate_rows or total_rows) segmented by dataset_group, and (2) an equal-width histogram with the specified number of bins showing the frequency distribution of values across all supplied rows.","failureModes":["Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors","Rows array exceeding 200 items is rejected","Invalid date format (not YYYY-MM-DD) causes schema rejection","bins value outside 1–30 range is rejected","Null values in numeric fields may affect summary statistics"],"whenToPreferThis":"Choose this endpoint when you need both a grouped breakdown and a histogram view of duplicate observation metrics in a single call, especially when working with up to 200 rows of pre-collected data quality records that include group labels and dates. It is ideal for data quality workflows where you want descriptive statistics segmented by dataset group alongside a distribution view — without needing external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:37.095Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-grouped-numeric-summary-equal-width-histogram-1a8ab5e7"}