{"uid":"cap_Rl2Li6geUyYokhWAhVpI4","slug":"data-reconciliation-record-quality-audit-string-normalisation-f28ce1b1","name":"Data Reconciliation — Record Quality Audit + String Normalisation + Trailing Mean Series","description":"Data reconciliation — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean 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-11-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_PRCf5ZuOeToG-QJNeHaBj","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 local analytical reports on up to 200 reconciliation rows: a record quality audit, string normalisation, and a trailing mean series for source_total or target_total values.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and a trailing mean series with a window of 3 on my reconciliation data — the rows have date, row_id, dataset_group, source_total, and target_total fields — and use source_total as the field for the mean series? I have about 50 rows.","exampleUseCases":[{"title":"Financial reconciliation data quality check","prompt":"I have 120 rows of daily source and target totals from our finance system — can you audit their record quality, normalise the dataset_group strings, and compute a trailing mean series over a window of 5 for source_total?"},{"title":"ETL pipeline output validation","prompt":"After our ETL run, I want to validate the output: run a record quality audit, string normalisation, and a trailing mean with window 7 on target_total across these 80 reconciliation rows with dates, row IDs, and group labels."},{"title":"Multi-group reconciliation anomaly review","prompt":"We have reconciliation records for two dataset groups — group-a and group-b — across 30 days. Can you audit the record quality, clean up any string inconsistencies, and show me a trailing mean series with window 4 for source_total?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues such as nulls, format errors, or out-of-range values; (2) a string normalisation report cleaning dataset_group and similar text fields; (3) a trailing mean series computed over the specified window for the chosen field (source_total or target_total). All analysis is performed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected with validation error","Window size smaller than 2 or larger than 200 — rejected with validation error","Date values not matching YYYY-MM-DD pattern — validation error on offending rows","source_total or target_total values outside ±1,000,000,000,000 — rejected","Invalid field enum value (not source_total or target_total) — schema validation error","Missing required row fields (row_id, dataset_group, date) — validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytics reports — quality audit, string normalisation, and rolling mean — on reconciliation data with source and target totals, all in a single $0.01 call with no external data dependencies. Prefer it over separate single-purpose analytics tools when you want cost-efficient batch analysis of up to 200 reconciliation rows without requiring live lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:42.626Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-string-normalisation-f28ce1b1"}