{"uid":"cap_HE_4gUnF42LWWO_t-nkDd","slug":"data-reconciliation-weighted-mean-date-by-category-pivot-analytics-1fd04a8e","name":"Data Reconciliation — Weighted Mean & Date-by-Category Pivot Analytics","description":"Data reconciliation — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot 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-11-185?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"}}},"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_1CbDkxfqbsQ-qAgirmdbU","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 a secondary-measure weighted mean and a date-by-category pivot table for supplied data reconciliation records (source_total vs target_total) across up to 200 rows.","exampleAgentPrompt":"I have 4 reconciliation rows with source and target totals across two groups — can you compute the weighted mean and a date-by-category pivot for the source_total field? Row-1 is 2026-10-01, group-a, source 10, target 1; row-2 is 2026-10-02, group-b, source 20, target 2; row-3 is 2026-10-03, group-a, source 15, target 3; row-4 is 2026-10-04, group-b, source 30, target 4.","exampleUseCases":[{"title":"Monthly reconciliation summary by team","prompt":"I have 50 reconciliation records for October with source and target totals split across 5 department groups — can you give me the weighted mean and a date-by-category pivot on the target_total field so I can see where the biggest gaps are?"},{"title":"Finance audit discrepancy breakdown","prompt":"We're auditing our ledger for Q3 and I have 120 rows of source vs target figures by accounting category and date — run the weighted mean and date pivot for source_total so we can spot which categories and dates have the largest imbalances."},{"title":"ETL pipeline validation report","prompt":"After our ETL run, I have 80 rows comparing source and target record counts by pipeline group and date — can you compute the weighted mean and pivot by date and category for source_total so I can validate the load was consistent?"}],"resultDescription":"Returns two analytical reports: (1) a secondary-measure weighted mean of the chosen field (source_total or target_total) across the supplied reconciliation rows, and (2) a date-by-category pivot table showing aggregated values broken down by date and dataset_group. Results are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected with validation error","Invalid date format (not YYYY-MM-DD) on any row — schema validation failure","source_total or target_total values outside ±1,000,000,000,000 — rejected","Missing required fields (row_id, dataset_group, date) — validation error","Invalid field enum value (not source_total or target_total) — rejected","Payment not completed in USDC — request not processed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 reconciliation rows with source and target totals grouped by category and date, and you need both a weighted mean and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for offline/local analytical summarization of reconciliation datasets without needing a live data warehouse or BI tool.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:32.613Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-weighted-mean-date-by-category-pivot-analytics-1fd04a8e"}