{"uid":"cap_rX4hsYflyNTRPra204uEZ","slug":"data-reconciliation-record-quality-audit-string-normalisation-missing-b75c5c55","name":"Data Reconciliation: Record Quality Audit + String Normalisation + Missing-Value Fill","description":"Data reconciliation — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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-11-208?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_JtQTfKq5wLnQB9JNRXnlX","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":"Audits record quality, normalises strings, and fills missing values for up to 200 source/target reconciliation rows, returning 3 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and median missing-value fill on my reconciliation data — here are 5 rows with row IDs, dataset groups, dates, source_total, and target_total values — and give me all 3 reports?","exampleUseCases":[{"title":"Finance team reconciliation quality check","prompt":"I have 50 reconciliation rows from last month with row IDs, dataset groups, dates, and source and target totals — some source_total values are null. Can you audit their record quality, normalise the dataset group strings, and fill those missing source_total values using the median?"},{"title":"ETL pipeline data validation before load","prompt":"Before we load these 120 reconciliation records into the warehouse, can you run a quality audit, normalise all string fields, and fill any missing target_total values using zero imputation? I'll send you the rows with row IDs, groups, and dates."},{"title":"Data analyst spotting reconciliation anomalies","prompt":"I've got 30 rows of reconciliation data with source and target totals — some values look off or blank. Can you give me a record quality audit, string normalisation, and mean-based fill for the missing source_total fields so I can see what needs fixing?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues like nulls, malformed dates, or out-of-range values; (2) a string normalisation report standardising dataset_group and other string fields; (3) a missing-value fill report with imputed values for the chosen field (source_total or target_total) using zero, mean, or median strategy. All computed locally from the supplied rows — no external data sources.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, dataset_group, date, source_total, target_total) per row — schema validation failure","Date field not in YYYY-MM-DD format — pattern validation error","Numeric values outside [-1,000,000,000,000, 1,000,000,000,000] range — schema rejection","Invalid imputation method or field enum value — schema error","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need three combined data reconciliation reports (quality audit, string normalisation, and missing-value imputation) in a single $0.01 call on up to 200 rows of source/target data. Ideal for pre-load validation, finance reconciliation QA, or ETL pipeline hygiene checks where you want offline, local analytics without any external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:49.325Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-string-normalisation-missing-b75c5c55"}