{"uid":"cap_eG1we0-_x8rcF1w4hKHhL","slug":"duplicate-observations-numeric-distribution-grouped-numeric-summary-65e927a4","name":"Duplicate Observations — Numeric Distribution + Grouped Numeric Summary","description":"Duplicate observations — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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-04-071?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_q_Y-1lUnIamlqNINBPOHY","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 up to 200 duplicate-observation records to produce two local analytical reports: a numeric distribution and a grouped numeric summary for duplicate_rows or total_rows.","exampleAgentPrompt":"Can you run both the numeric distribution and grouped numeric summary reports on my duplicate observation records? I have up to 50 rows with fields row_id, dataset_group, date, duplicate_rows, and total_rows — I want to analyze the duplicate_rows field.","exampleUseCases":[{"title":"Deduplication audit across dataset groups","prompt":"I have 80 records from our deduplication pipeline, each with a row_id, a dataset_group like 'customers' or 'orders', a date, and counts for duplicate_rows and total_rows. Can you run a numeric distribution and grouped numeric summary on the duplicate_rows field so I can see where duplication is worst?"},{"title":"Monthly data quality review by group","prompt":"Here are 120 data quality observations from October across groups 'raw_ingest' and 'cleaned' — each has a row_id, date, duplicate_rows, and total_rows. Please give me both the distribution report and the grouped numeric summary for total_rows so I can compare quality across groups."},{"title":"Pre-migration duplicate baseline statistics","prompt":"Before we migrate our database, I want to understand the duplicate landscape. I have 150 observation records with dataset groups like 'legacy_a' and 'legacy_b', each with duplicate_rows and total_rows counts. Can you produce the numeric distribution and the grouped numeric summary on duplicate_rows?"}],"resultDescription":"Returns two local analytical reports: (1) a numeric distribution of the selected field (duplicate_rows or total_rows) across all supplied rows, including statistics like min, max, mean, median, and percentile buckets; and (2) a grouped numeric summary breaking down the same field by dataset_group, showing aggregated statistics per group. No external data is fetched; all analysis is performed on the supplied rows.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — exceeds maxItems limit of 200","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row object","Date field does not match YYYY-MM-DD pattern — validation error","Invalid field selector — must be 'duplicate_rows' or 'total_rows'","Null values in numeric fields may affect distribution computation","Payment not completed — x402 payment of 0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected duplicate observation records and need both a numeric distribution and a grouped numeric summary in a single low-cost call. It is ideal for offline/batch data quality audits where no live lookup, prediction, or external data enrichment is needed. Prefer this over single-report alternatives when you specifically need the paired distribution + grouped summary output for the same dataset in one request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:32.516Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-numeric-distribution-grouped-numeric-summary-65e927a4"}