{"uid":"cap_uZA6aR50Gm8ehND4rTOpK","slug":"record-routing-record-quality-audit-grouped-numeric-summary-3fe85fb8","name":"Record Routing — Record Quality Audit + Grouped Numeric Summary","description":"Record routing — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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-19-005?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"}}},"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_ue9V2IQTd6snf1Ok_UqeA","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 two local analytical reports on record routing data: a per-row quality audit and a grouped numeric summary of accepted and rejected record counts.","exampleAgentPrompt":"Can you run a quality audit and grouped numeric summary on my record routing data? I have rows with row_id, dataset_group, date, accepted_records, and rejected_records — up to 200 rows — and I want to analyze the accepted_records field.","exampleUseCases":[{"title":"ETL pipeline rejection rate review","prompt":"I just ran my nightly ETL load and want to audit the record routing results. Can you check my accepted_records and rejected_records across groups like 'warehouse' and 'staging' for the past week and give me a quality audit plus a grouped summary?"},{"title":"Data ingestion quality check by team","prompt":"We have record routing logs from multiple dataset groups — 'finance', 'ops', and 'marketing' — with accepted and rejected counts per day over the last month. Can you run a quality audit and grouped numeric summary so I can see which groups are dropping the most records?"},{"title":"Daily batch acceptance monitoring","prompt":"After today's batch run I have about 50 rows of record routing data with dates, group names, and accepted vs rejected counts. Can you audit data quality and summarize the totals grouped by dataset_group so I can spot any anomalies?"}],"resultDescription":"Two independent reports: (1) a per-row record quality audit flagging anomalies, nulls, or data issues in the accepted/rejected record counts, and (2) a grouped numeric summary aggregating accepted_records or rejected_records statistics by dataset_group — all computed locally on the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors","Submitting more than 200 rows exceeds the row limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null numeric values may limit statistical computations in the summary report","Empty rows array returns an error","Invalid field enum value (not 'accepted_records' or 'rejected_records') causes rejection"],"whenToPreferThis":"Use this endpoint when you have up to 200 rows of record routing data with accepted and rejected record counts and want both a per-row quality audit and a grouped aggregate summary in a single low-cost call. Prefer it over general-purpose analytics when your data fits the specific record routing schema (row_id, dataset_group, date, accepted_records, rejected_records) and you need offline, local computation without any external API dependency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:47.410Z","isFirstParty":false,"canonicalSlug":"record-routing-record-quality-audit-grouped-numeric-summary-3fe85fb8"}