{"uid":"cap_QXzqxtQd-CTUG5CGmsWhN","slug":"duplicate-observations-category-frequencies-adjacent-row-changes-c965ca20","name":"Duplicate Observations — Category Frequencies + Adjacent Row Changes","description":"Duplicate observations — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-04-104?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_h29o_LMrg4pefvpRzvoem","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 computing category frequencies and detecting adjacent row changes across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run the duplicate observations analysis on my dataset — I have rows with duplicate_rows and total_rows counts across groups like 'group-a' and 'group-b' from October 2026, and I want both the category frequency breakdown and the adjacent row change report for the duplicate_rows field?","exampleUseCases":[{"title":"Daily duplicate spike investigation","prompt":"I've got 50 rows of duplicate observation data with date, dataset_group, duplicate_rows, and total_rows — can you give me the category frequency breakdown by group and flag where adjacent rows show big changes in duplicate_rows?"},{"title":"Data pipeline quality audit","prompt":"Run the duplicate observations analysis on my 120-row dataset covering three groups across the past quarter — I need both the category frequency report and the adjacent row changes for total_rows so I can see where my pipeline introduced duplicates."},{"title":"Cross-group duplicate rate comparison","prompt":"I have duplicate_rows and total_rows figures for four dataset groups logged daily for a month — analyze the category frequencies to see which group dominates, and also show me the adjacent row changes for duplicate_rows across all 30 rows."}],"resultDescription":"Returns two independent reports: (1) a category frequency distribution showing how often each dataset_group value appears across the supplied rows, and (2) an adjacent row change report identifying differences between consecutive rows for the selected numeric field (duplicate_rows or total_rows). No external lookups or predictions are made; all analysis runs on the supplied data locally.","failureModes":["Empty rows array — minimum 1 item required","Rows exceed 200 item limit — request will be rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row","Invalid date format — must match YYYY-MM-DD pattern","Numeric fields out of allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field enum value — must be 'duplicate_rows' or 'total_rows'","Payment failure — 0.01 USDC required per call via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have structured duplicate observation records (with duplicate_rows, total_rows, dataset_group, and date fields) and need both a categorical frequency breakdown and an adjacent-row change analysis in a single low-cost call. Prefer it over single-report endpoints when both analytical angles are needed simultaneously. Best suited for data quality workflows, pipeline auditing, or ongoing duplicate monitoring where you want to understand group-level composition and row-to-row variation without any external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:03.026Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-category-frequencies-adjacent-row-changes-c965ca20"}