{"uid":"cap_PijwGClaZO0QXyS7rSNJS","slug":"data-reconciliation-record-quality-audit-string-normalisation-daily-27cf376d","name":"Data Reconciliation — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Data reconciliation — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-198?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_uoHy8B6RTI5dqaNfFpr8z","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 three analytical reports on supplied data reconciliation rows: a record quality audit, string normalisation, and a daily sum series for source_total or target_total values.","exampleAgentPrompt":"Can you run the record quality audit, string normalisation, and daily sum series reports on my reconciliation data — I have up to 50 rows with source_total and target_total values by date and dataset group, and I want to analyse the source_total field?","exampleUseCases":[{"title":"Pre-pipeline reconciliation quality check","prompt":"I have 120 reconciliation rows with source and target totals by date and dataset group — can you run the record quality audit, string normalisation, and daily sum series on them so I can catch data issues before loading into the warehouse? Analyse the source_total field."},{"title":"Daily finance reconciliation summary","prompt":"Run a daily sum series plus record quality audit on these 80 rows of finance reconciliation data grouped by region — I want to see how target_total adds up day by day and whether there are any quality problems."},{"title":"ETL data validation for dataset groups","prompt":"Before I merge these two datasets, can you do a string normalisation and record quality audit on my 40 reconciliation rows? The dataset_group names might be inconsistent and I need to know if any source_total values are missing or malformed."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields; (2) a string normalisation report standardising dataset_group and other string fields; and (3) a daily sum series aggregating the selected numeric field (source_total or target_total) by date across the supplied rows.","failureModes":["Fewer than 1 row or more than 200 rows supplied — validation error","date field does not match YYYY-MM-DD pattern — schema validation failure","source_total or target_total outside ±1,000,000,000,000 — rejected","row_id or dataset_group exceeds 80 characters — schema error","field enum value not 'source_total' or 'target_total' — invalid input","Payment not completed — 402 response, reports not generated"],"whenToPreferThis":"Choose this endpoint when you need three complementary data-quality and summarisation reports on reconciliation data in a single low-cost call ($0.01 USDC). It is ideal for pre-pipeline validation workflows where you want quality auditing, string normalisation, and daily aggregation together without making separate API calls. Prefer it over general-purpose analytics tools when your data fits the reconciliation schema (source_total, target_total, date, dataset_group) and you need all three reports atomically on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:45.562Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-string-normalisation-daily-27cf376d"}