{"uid":"cap_BDrGAlCUtJYM1XMr9TmUs","slug":"data-reconciliation-analytics-category-frequencies-numeric-interval-6effd0d4","name":"Data Reconciliation Analytics — Category Frequencies & Numeric Interval Filter","description":"Data reconciliation — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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-11-101?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_PI7rDhVdxem1fXtFFJK3B","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 data reconciliation records (source_total vs target_total) by computing category frequencies across dataset groups and filtering rows by a numeric interval, returning two bundled local analytical reports.","exampleAgentPrompt":"Can you analyze my reconciliation data — I have rows with source_total and target_total grouped into 'group-a' and 'group-b' — give me the category frequencies across dataset groups and also filter to show only rows where source_total is between 10 and 50? I've got about 20 rows to send.","exampleUseCases":[{"title":"ETL pipeline reconciliation audit","prompt":"I just ran my nightly ETL and have 150 reconciliation rows with source_total and target_total across three dataset groups. Can you show me the frequency of each dataset group and filter to rows where source_total falls between 0 and 500 so I can spot any anomalies?"},{"title":"Finance team source-target discrepancy review","prompt":"We have 80 reconciliation records from last month's close, grouped into 'ledger-A' and 'ledger-B'. Can you run both reports — category frequencies by group and filter target_total between 1000 and 250000 — so we can see where the volumes concentrate?"},{"title":"Data quality check after migration","prompt":"After our database migration I have 200 rows with source_total and target_total tagged by dataset group. Please give me the category frequency breakdown and filter to rows where source_total is between -5000 and 0 so I can catch any negative-balance issues."}],"resultDescription":"Returns two bundled analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied records, and (2) a filtered row set containing only records where the chosen field (source_total or target_total) falls within the specified minimum–maximum numeric interval. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, must send ≤200 rows","Missing required fields (row_id, dataset_group, date, source_total, or target_total) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","minimum greater than maximum — interval filter may return empty result set","row_id or dataset_group exceeds 80 characters — validation error","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data reconciliation records with source and target totals grouped by category, and need both a frequency distribution of those categories AND a numeric interval filter in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline analytical passes on reconciliation data without requiring a live data warehouse or BI tool. Prefer it over general-purpose analytics APIs when you specifically need these two bundled reconciliation-oriented reports and want deterministic local computation with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:02.071Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-analytics-category-frequencies-numeric-interval-6effd0d4"}