{"uid":"cap_tb6vKNoTpLd9OoP64loAe","slug":"data-reconciliation-record-quality-audit-base-100-series-b47dfea2","name":"Data Reconciliation — Record Quality Audit + Base-100 Series","description":"Data reconciliation — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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-11-012?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_iG_vrVXjWkh_2cbddpjl6","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 (record quality audit and Base-100 index series) on up to 200 supplied data reconciliation rows comparing source and target totals.","exampleAgentPrompt":"Run a record quality audit and Base-100 index series on my reconciliation data — I have 4 rows in groups 'group-a' and 'group-b' dated 2026-10-01 through 2026-10-04, with source_totals of 10, 20, 15, 30 and target_totals of 1, 2, 3, 4; index off row 0 using the source_total field.","exampleUseCases":[{"title":"Monthly finance reconciliation quality check","prompt":"I need to audit the quality of my monthly finance reconciliation data and get a base-100 indexed series for the source_total field. I have 12 rows, one per month in 2025, split between 'revenue' and 'costs' groups — can you run both reports starting from index row 0?"},{"title":"ETL pipeline source vs target drift analysis","prompt":"Can you run a record quality audit and a Base-100 series on my ETL pipeline reconciliation output? I've got 50 rows from January through March 2026 across dataset groups 'pipeline-A' and 'pipeline-B', comparing source_total and target_total, indexed from row 0."},{"title":"Weekly sales data group comparison","prompt":"I want to check data quality and see a base-100 trend for my weekly sales reconciliation records — 8 weeks of data across 'north-region' and 'south-region' groups, using target_total as the indexed field, starting from base index row 0."}],"resultDescription":"Returns two independent reports: (1) a record quality audit covering completeness, nulls, and anomalies in the supplied reconciliation rows, and (2) a Base-100 index series normalizing the chosen field (source_total or target_total) relative to a specified base row. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","base_index out of range (0–199) — error returned","source_total or target_total outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical reports — a record quality audit and a Base-100 index series — on reconciliation data (source vs. target totals) without any external data lookups or live connections. It is cost-effective at $0.01 USDC for both reports on up to 200 rows. Prefer it over single-report endpoints when you need both quality and indexing outputs in one call from purely supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:41:42.480Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-base-100-series-b47dfea2"}