{"uid":"cap_CZOsdfJVAouqEGIoSHZre","slug":"record-routing-record-quality-audit-iqr-outlier-flags-21b97a40","name":"Record Routing — Record Quality Audit + IQR Outlier Flags","description":"Record routing — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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-19-014?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_sm8XGKBmHjnWHOH5nGIcO","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 a record quality audit and IQR-based outlier detection on up to 200 rows of record routing data (accepted_records and rejected_records), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and flag IQR outliers on my record routing data — I have 4 rows across group-a and group-b dated 2026-10-01 through 2026-10-04, with accepted_records like 10, 20, 15, 30 and rejected_records like 1, 2, 3, 4, and I want to check the accepted_records field?","exampleUseCases":[{"title":"Spotting outliers in nightly routing batch","prompt":"I ran my nightly record routing job and got 150 rows of accepted and rejected counts per group — can you audit the data quality and flag any IQR outliers in the accepted_records field so I know which rows look suspicious?"},{"title":"Validating routing pipeline before reporting","prompt":"Before I send my weekly routing report, can you do a quality audit and IQR outlier check on these 80 rows of routing data across my dataset groups, looking at the rejected_records field to catch anything anomalous?"},{"title":"Investigating data spikes in routing logs","prompt":"I think something went wrong in our routing pipeline last month — can you audit quality and flag statistical outliers using IQR on these 200 rows of accepted_records data grouped by dataset_group and date?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying data issues such as nulls, invalid values, or structural problems across the supplied rows, and (2) IQR-based outlier flags identifying which rows contain statistically anomalous values for the selected field (accepted_records or rejected_records). No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Rows exceed 200-item limit — request is rejected","Missing required fields (row_id, date, accepted_records, rejected_records) — validation error","date field not in YYYY-MM-DD format — schema validation failure","field enum value not one of accepted_records or rejected_records — error","Empty rows array — rejected due to minItems:1 constraint","Numeric values outside ±1,000,000,000,000 range — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of record routing data and need both a structured quality audit and IQR-based outlier detection in a single low-cost call. It is ideal for pipeline validation, pre-reporting checks, and anomaly investigation on routing acceptance/rejection counts. Prefer this over general analytics endpoints when your data specifically has the accepted_records and rejected_records structure and you want two reports for $0.01 USDC without any external data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:17.962Z","isFirstParty":false,"canonicalSlug":"record-routing-record-quality-audit-iqr-outlier-flags-21b97a40"}