{"uid":"cap_C_NiRf3sa25j60il3Cq2l","slug":"data-reconciliation-base-100-series-date-by-category-pivot-791ea62c","name":"Data Reconciliation — Base-100 Series + Date-by-Category Pivot","description":"Data reconciliation — Base-100 series + Date by category pivot: Base-100 series + 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-11-167?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_2qTHhDSrscGLSGlzdatzt","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":"Runs two analytical reports on supplied reconciliation data: a base-100 indexed series for a chosen numeric field and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have 4 reconciliation rows with dates, group names, and source/target totals — can you run a base-100 series (indexed from row 0) on the source_total field plus a date-by-category pivot across those rows?","exampleUseCases":[{"title":"Monthly budget reconciliation analysis","prompt":"I've got 12 months of budget data with source_total and target_total for two cost centers — run a base-100 series on source_total starting from month 0 and give me a date-by-category pivot so I can see how each group drifts over the year."},{"title":"ETL pipeline output validation","prompt":"After our ETL run I have 80 rows with row IDs, dates, dataset groups, and both source and target totals — can you index the target_total field to a base of 100 starting at row 0 and pivot the data by date and category to spot discrepancies?"},{"title":"Quarterly sales data comparison","prompt":"We have 40 rows of quarterly sales reconciliation across four regional groups with source and target totals — produce a base-100 index on source_total from row 0 and a date-by-category pivot so we can compare how each region tracks relative to the baseline."}],"resultDescription":"Returns two analytical reports computed locally: (1) a base-100 normalized time series for the chosen field (source_total or target_total) relative to the specified base row index, and (2) a pivot table of values broken down by date and dataset_group category. No external lookups or predictions are made.","failureModes":["Fewer than 1 row or more than 200 rows provided — request rejected","base_index out of range (0–199) relative to actual row count","Invalid date format (must be YYYY-MM-DD)","source_total or target_total values outside ±1,000,000,000,000 range","Missing required fields (row_id, dataset_group, date, source_total, or target_total)","Base row value is zero causing division-by-zero in base-100 calculation","Payment not fulfilled — x402 payment required at $0.01 USDC"],"whenToPreferThis":"Choose this endpoint when you have up to 200 reconciliation records with source and target totals and need both a base-100 normalized trend series and a date-by-category pivot in a single $0.01 call. It is ideal for offline/supplied-data analytics with no need for external data fetching, live predictions, or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:39.462Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-base-100-series-date-by-category-pivot-791ea62c"}