{"uid":"cap_ls4GlyharMv4YK8RACENv","slug":"record-routing-quality-audit-and-missing-value-fill-8225222d","name":"Record Routing Quality Audit and Missing Value Fill","description":"Record routing — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_records). 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-19-019?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"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_LSSVEw6MZG9tbtTVXmTCk","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 data quality and fills missing values for accepted_records and rejected_records fields in up to 200 record routing rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you run a quality audit and fill any missing values using median imputation on my record routing data — I have about 50 rows with accepted_records and rejected_records grouped by dataset group and date, and I need both reports?","exampleUseCases":[{"title":"Pipeline data completeness check","prompt":"I have a batch of 120 record routing rows with accepted_records and rejected_records for October, some values are null — can you audit the data quality and fill the missing accepted_records using mean imputation?"},{"title":"Rejected records anomaly audit","prompt":"Run a quality audit on my rejected_records field for these 80 routing rows across group-a and group-b, and fill any missing values with zero so I can see where data is dropping out."},{"title":"Monthly routing report validation","prompt":"Before I generate my monthly report, can you check the quality of my 200 record routing rows and fill any gaps in accepted_records using the median method?"}],"resultDescription":"Two independent analytical reports: (1) a data quality audit flagging issues such as nulls, out-of-range values, and anomalies in the accepted_records and rejected_records fields; (2) an explicit missing-value fill report showing imputed values for the chosen field using the specified method (zero, mean, or median). No external lookups or predictions are made — all analysis uses local analytical engines on the supplied data.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","Missing required fields (row_id, dataset_group, date) causes row rejection","Values outside allowed numeric range cause schema validation errors","Empty rows array returns an error","Invalid method or field enum value causes parameter rejection"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit and missing-value imputation on record routing metrics (accepted_records, rejected_records) for a batch of up to 200 rows. It is best suited for offline or batch data pipeline validation tasks where no live external lookup or prediction is needed, and when you want two structured reports from a single low-cost API call. Prefer this over general-purpose data tools when your data is already structured with row_id, dataset_group, and date fields matching this schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:49.396Z","isFirstParty":false,"canonicalSlug":"record-routing-quality-audit-and-missing-value-fill-8225222d"}