{"uid":"cap_aaVOQDWJEsBo1LyQNRsKZ","slug":"data-reconciliation-record-quality-audit-numeric-interval-filter-45fcf1d0","name":"Data Reconciliation — Record Quality Audit + Numeric Interval Filter","description":"Data reconciliation — Record quality audit + Numeric interval filter: Record quality audit + 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-11-008?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_YG7wJoK9qHe1xPVpNU5wX","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 local analytical reports on up to 200 reconciliation rows: a record quality audit and a numeric interval filter on source_total or target_total values.","exampleAgentPrompt":"Run a record quality audit and a numeric interval filter on these 50 reconciliation rows — filter on source_total between 0 and 500 — and give me both reports. The rows include row_id, dataset_group, date, source_total, and target_total.","exampleUseCases":[{"title":"Finance team reconciliation data audit","prompt":"I have 120 reconciliation records comparing source and target system totals for October 2024 — can you run a record quality audit on them and also filter the source_total values to show me only rows between 1000 and 50000?"},{"title":"ETL pipeline data validation check","prompt":"After our nightly ETL run I have 80 rows with row IDs, group names, dates, and source and target totals — please audit them for record quality issues and filter target_total to only rows between -500 and 0 so I can spot the negatives."},{"title":"Reconciliation discrepancy triage","prompt":"I need two reports on this batch of 35 reconciliation rows: one checking their overall record quality and one filtering source_total to the interval 10000 to 999999 — can you run both and tell me what you find?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying completeness, validity, or structural issues across the supplied reconciliation rows, and (2) a numeric interval filter report listing which rows have the chosen field (source_total or target_total) within the specified minimum–maximum range. Covers up to 200 rows per call with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, source_total, target_total) cause row-level errors","Invalid date format (non-YYYY-MM-DD) causes validation failure","Minimum greater than maximum causes an empty or invalid interval filter result","Numeric values outside ±1,000,000,000,000 are rejected by schema","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical reports — a record quality audit plus a numeric interval filter — on up to 200 data reconciliation rows in a single low-cost call ($0.01 USDC). Prefer it over general-purpose data tools when your data already has source_total and target_total fields and you want offline, local analysis without any external API calls, predictions, or live lookups.","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-record-quality-audit-numeric-interval-filter-45fcf1d0"}