{"uid":"cap_YVnNWjZ7UvOh9UGfnJ3J8","slug":"duplicate-observations-adjacent-row-changes-explicit-missing-value-fill-c386aff5","name":"Duplicate Observations — Adjacent Row Changes + Explicit Missing-Value Fill","description":"Duplicate observations — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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-04-162?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_bWZ9l-DDFt5gmpq8gk4ZL","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 adjacent row changes and filling missing values (zero, mean, or median) for duplicate_rows or total_rows fields across up to 200 rows.","exampleAgentPrompt":"I have 4 rows of duplicate observation data for groups A and B dated October 1–4 2026, with duplicate_rows counts of 10, 20, 15, and 30 and total_rows of 1–4 — can you run the adjacent row changes and median missing-value fill reports on the duplicate_rows field?","exampleUseCases":[{"title":"Data pipeline deduplication audit","prompt":"I've got a series of dataset quality records showing duplicate_rows and total_rows counts per day for two groups. Can you compute how duplicate_rows changed between consecutive rows and fill any missing values using the median method?"},{"title":"ETL job missing-value cleanup","prompt":"My ETL pipeline produced 150 rows of duplicate observation stats across multiple dataset groups, but some duplicate_rows values are null — please fill those nulls using the mean and also show me adjacent row changes for the total_rows field."},{"title":"Data quality monitoring report","prompt":"I'm tracking duplicate counts across dataset groups over the last quarter — here are 80 daily records with row_id, date, dataset_group, duplicate_rows, and total_rows. Can you generate both the adjacent changes report and zero-fill any missing duplicate_rows values?"}],"resultDescription":"Returns two analytical reports per call: (1) an adjacent row change report showing period-over-period deltas for the selected field (duplicate_rows or total_rows), and (2) an explicit missing-value fill report replacing nulls in the selected field using the chosen method (zero, mean, or median). Covers up to 200 input rows processed locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, duplicate_rows, or total_rows) on any row","Date strings not matching YYYY-MM-DD pattern","Invalid field enum value (must be duplicate_rows or total_rows)","Invalid method enum value (must be zero, mean, or median)","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you need local, offline-style analytical computation on duplicate observation records — specifically when you want both adjacent row change detection and missing-value imputation in a single call without external data lookups or predictions. Ideal for data quality pipelines auditing deduplication metrics across time-series records grouped by dataset category.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T19:02:22.952Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-adjacent-row-changes-explicit-missing-value-fill-c386aff5"}