{"uid":"cap_lgTo0cuZXNRMUgR2UBAGQ","slug":"schema-conformity-record-quality-audit-deduplication-iqr-outlier-flags-80a94b71","name":"Schema Conformity Record Quality Audit + Deduplication + IQR Outlier Flags","description":"Schema conformity — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied schema conformity records (valid_records, checked_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-02-220?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_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},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_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_ilysT5RnmaRzRP__j4o6h","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 three analytical reports on schema conformity records: a record quality audit, exact row deduplication, and IQR-based outlier flagging for valid_records or checked_records fields.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication check, and IQR outlier detection on my schema conformity data? I'm analyzing the valid_records field across these rows: row-1 (group-a, 2025-01-01, valid=95, checked=100), row-2 (group-b, 2025-01-02, valid=80, checked=100), row-3 (group-a, 2025-01-01, valid=95, checked=100), row-4 (group-c, 2025-01-03, valid=5, checked=100).","exampleUseCases":[{"title":"ETL pipeline conformity audit","prompt":"I've got 150 rows of daily schema conformity records across three dataset groups — can you audit the record quality, deduplicate any exact duplicate rows, and flag IQR outliers in the valid_records column so I can clean up before my ETL run?"},{"title":"Duplicate detection in validation logs","prompt":"My validation log has entries from January through March 2025 with row IDs, dataset groups, and valid/checked record counts — run the exact deduplication report on these so I can see which rows are exact copies before I import them."},{"title":"Outlier spotting in checked_records","prompt":"I suspect some of my checked_records values are statistically anomalous — can you run the IQR outlier flagging report on my conformity dataset using the checked_records field across these 80 rows?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit summarizing completeness and field-level issues, (2) an exact row deduplication report identifying identical rows, and (3) IQR-based outlier flags on the selected numeric field (valid_records or checked_records). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, date, valid_records, checked_records) — validation error","Invalid date format (not YYYY-MM-DD) — schema rejection","Invalid field enum value (not valid_records or checked_records) — error","Empty rows array — minimum 1 item required","Numeric values outside allowed range ±1,000,000,000,000 — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need three bundled data quality reports (audit + dedup + outlier detection) on schema conformity data in a single low-cost call. Ideal for datasets up to 200 rows where you want IQR-based statistical outlier detection alongside exact duplicate removal and a quality audit, without needing external data sources or predictions. Best suited for batch pre-processing of conformity tracking data before downstream ETL or reporting pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:47.291Z","isFirstParty":false,"canonicalSlug":"schema-conformity-record-quality-audit-deduplication-iqr-outlier-flags-80a94b71"}