{"uid":"cap_19qgYxrbCYITwV29BCLj5","slug":"data-reconciliation-adjacent-row-changes-explicit-missing-value-fill-e47b5934","name":"Data Reconciliation: Adjacent Row Changes + Explicit Missing-Value Fill","description":"Data reconciliation — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill for supplied data reconciliation records (source_total, target_total). 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-11-162?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"},"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_FeQd1UrJPcxX5asoHiy99","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":"Computes adjacent row-over-row changes and fills missing values (zero, mean, or median) in source_total/target_total reconciliation data, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 rows of daily reconciliation data with source_total and target_total values — some source_total entries are null. Can you run an adjacent row changes analysis and fill the missing source_total values using the median method?","exampleUseCases":[{"title":"Finance team reconciliation gap detection","prompt":"I've got daily source and target totals for our finance reconciliation across two dataset groups from October 2026, with some nulls in source_total. Run the adjacent row changes report and fill missing source_total values using the median — I need to see where the numbers diverge."},{"title":"ETL pipeline data quality audit","prompt":"After our ETL run, we have 120 rows of source_total and target_total records, and some target_total values are missing. Can you compute row-over-row changes and fill those missing target_total entries using zero fill so I can audit the pipeline output?"},{"title":"Monthly dataset group trend analysis","prompt":"I have reconciliation records grouped by dataset_group with dates spanning 30 days — a few source_total values are null. Please run the adjacent row changes analysis and fill the missing source_total values using the mean, so I can compare trends across groups."}],"resultDescription":"Returns 2 analytical reports per call: (1) an adjacent row-over-row change analysis showing deltas between consecutive rows for the chosen field, and (2) a missing-value fill report where null source_total or target_total entries are replaced using the specified method (zero, mean, or median). Results cover up to 200 input rows with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes schema validation failure","source_total or target_total values outside ±1,000,000,000,000 range are rejected","Missing required fields (row_id, dataset_group, date) cause validation errors","Invalid method enum value (not zero/mean/median) causes rejection","Invalid field enum value (not source_total/target_total) causes rejection","Empty rows array (minItems:1 not met) returns an error"],"whenToPreferThis":"Choose this endpoint when you need both adjacent row change detection and missing-value imputation on reconciliation data (source_total vs target_total) in a single $0.01 call that yields 2 reports. Ideal for finance, ETL, or data quality workflows processing up to 200 dated rows grouped by dataset category, where no external data lookup or predictive modeling is needed — purely local analytical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:03.028Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-adjacent-row-changes-explicit-missing-value-fill-e47b5934"}