{"uid":"cap_Jk7t9c7KGJU_oiks8Md0W","slug":"data-reconciliation-analytics-category-frequencies-date-by-category-b5515d42","name":"Data Reconciliation Analytics: Category Frequencies + Date-by-Category Pivot","description":"Data reconciliation — Category frequencies + Date by category pivot: Category frequencies + 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-11-110?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_FoQLklEbKkX8VJrI4vm_6","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":"Generates two analytical reports — category frequency counts and a date-by-category pivot table — from supplied data reconciliation records containing source and target totals.","exampleAgentPrompt":"Analyze my reconciliation data and give me both a category frequency report and a date-by-category pivot table for source_total — I have rows with dataset groups like 'group-a' and 'group-b' across dates in October 2026.","exampleUseCases":[{"title":"ETL pipeline discrepancy analysis","prompt":"I have up to 150 rows of ETL reconciliation records with source_total and target_total values across different pipeline groups and dates in Q3 — can you run category frequency counts and a date-by-category pivot on source_total so I can see where my groups cluster and how values distribute over time?"},{"title":"Finance team source-vs-target audit","prompt":"Our finance team needs to reconcile ledger entries: I have records tagged with dataset groups like 'accounts-payable' and 'accounts-receivable' with source and target totals by date — please generate a category frequency breakdown and a date-by-group pivot for target_total across all 80 rows."},{"title":"Data migration validation summary","prompt":"We just migrated data across systems and I want to validate coverage — run a category frequencies report and a date-by-category pivot on source_total for our 200 migration reconciliation records so we can spot which groups have the most records and how they spread across migration dates."}],"resultDescription":"Two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied rows, and (2) a date-by-category pivot table aggregating the selected field (source_total or target_total) broken down by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum row count validation error","More than 200 rows supplied — exceeds maxItems limit, request rejected","date field not in YYYY-MM-DD format — pattern validation failure","source_total or target_total outside ±1,000,000,000,000 range — numeric bounds error","Missing required fields (row_id, dataset_group, date, source_total, target_total) — schema validation error","Invalid field enum value (not 'source_total' or 'target_total') — rejected with enum error"],"whenToPreferThis":"Choose this endpoint when you need both a category frequency distribution and a date-by-category pivot table computed together from reconciliation records in a single low-cost call. It is purpose-built for data reconciliation scenarios with source_total and target_total fields, making it ideal for ETL audits, financial reconciliation summaries, and migration validation — all without any external data lookup or ML inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:08.600Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-analytics-category-frequencies-date-by-category-b5515d42"}