{"uid":"cap_8qQa_rUAXaWQ2ABp-MA2Q","slug":"record-routing-quality-audit-string-normalisation-missing-value-fill-95160f8b","name":"Record Routing Quality Audit, String Normalisation & Missing-Value Fill","description":"Record routing — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_records). 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-19-208?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_Ll_AKYPOq3ADmjz-yuxHk","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 routing data quality, normalises strings, and fills missing values for accepted_records and rejected_records fields across up to 200 rows in three independent analytical reports.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and missing-value fill (using median) on these 50 record routing rows I have, targeting the accepted_records field — I need all three reports in one go?","exampleUseCases":[{"title":"Pipeline health check before ingestion","prompt":"I have a batch of 120 record routing rows with dates, dataset groups, and accepted/rejected record counts — can you audit their quality, normalise any string fields, and fill any missing accepted_records values using mean imputation before I ingest them?"},{"title":"Null-value remediation for rejected records","prompt":"Several rows in my routing dataset have null values in rejected_records. Can you run the missing-value fill using zero replacement on up to 200 rows, along with the quality audit and string normalisation reports?"},{"title":"Data quality review for weekly routing report","prompt":"I'm preparing a weekly routing report and need to check data quality on 80 rows across two dataset groups — please run all three reports (quality audit, string normalisation, missing-value fill using median) targeting the rejected_records field."}],"resultDescription":"Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging data issues, (2) a string normalisation report cleaning text fields, and (3) a missing-value fill report substituting nulls in the chosen field using the specified method (zero, mean, or median). Covers up to 200 rows per call with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, dataset_group) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid fill method or field enum value — bad request error","Payment not settled via x402 — request blocked"],"whenToPreferThis":"Choose this endpoint when you have a batch of record routing rows (up to 200) and need simultaneous quality auditing, string normalisation, and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for pre-ingestion data cleaning workflows where no live lookup, prediction, or external enrichment is required — all analysis is performed locally against your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:47:47.843Z","isFirstParty":false,"canonicalSlug":"record-routing-quality-audit-string-normalisation-missing-value-fill-95160f8b"}