{"uid":"cap_X0zGRAqot9JI2xn2tRQF-","slug":"record-routing-quality-audit-and-exact-row-deduplication-248c73ac","name":"Record Routing Quality Audit and Exact Row Deduplication","description":"Record routing — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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-19-002?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}}},"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_d7NDG9hbfZkP_guPQudz2","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":"Performs a quality audit and exact row deduplication on up to 200 record routing rows (accepted_records, rejected_records), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a quality audit and exact row deduplication on my record routing data? I have rows with dataset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, accepted_records counts like 10, 20, 15, 30, and rejected_records counts like 1, 2, 3, 4 — give me both the quality report and any duplicates found.","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I just ran a batch ETL job and I need to audit the quality of my record routing output — can you check these rows for data quality issues and exact duplicates? I have about 50 rows across two dataset groups, each with a date, accepted_records, and rejected_records count."},{"title":"Routing dataset deduplication before reporting","prompt":"Before I finalize my weekly routing report, can you scan my 120 routing records for any exact duplicate rows and also flag any quality problems? The rows have row_ids, dataset groups, dates, and accepted/rejected record counts."},{"title":"Investigating rejected records anomalies","prompt":"My record routing pipeline has been producing some weird results — can you do a quality audit and deduplication check on the 80 rows I have, with dates in October 2026, to see if there are data quality issues or repeated rows causing the anomalies in my rejected_records numbers?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying data issues, anomalies, or inconsistencies in the accepted_records and rejected_records fields across the submitted rows, and (2) an exact row deduplication report identifying any duplicate rows by exact field match, along with the affected row_ids. Both reports are generated using local analytical engines with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, accepted_records, rejected_records) cause row-level rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside the allowed range (-1T to +1T) are rejected","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline-style quality auditing and exact deduplication of record routing data (accepted/rejected record counts by date and group) without requiring live lookups, ML-based predictions, or external integrations. Best for batches up to 200 rows at low cost ($0.01 USDC for both reports). If you need fuzzy deduplication, ML-based anomaly detection, or more than 200 rows, look for alternative endpoints.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:55:24.326Z","isFirstParty":false,"canonicalSlug":"record-routing-quality-audit-and-exact-row-deduplication-248c73ac"}