{"uid":"cap_f2fBJl_wjg-4Fvo5Nf_XV","slug":"schema-conformity-duplicate-key-report-iqr-outlier-flags-e1297441","name":"Schema Conformity — Duplicate Key Report + IQR Outlier Flags","description":"Schema conformity — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags for supplied schema conformity records (valid_records, checked_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-02-065?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_aebv9ZSa09tsJsfRujMBY","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":"Analyzes up to 200 schema conformity records to produce a duplicate key report and IQR-based outlier flags for valid_records or checked_records fields.","exampleAgentPrompt":"Check my schema conformity data for duplicate row IDs and flag any IQR outliers in the valid_records field — I have about 50 rows covering groups A and B across October 2026.","exampleUseCases":[{"title":"Audit daily data pipeline conformity logs","prompt":"I have 120 rows of daily schema conformity records from our ETL pipeline — each with a row_id, dataset_group, date, valid_records, and checked_records. Can you run a duplicate key report and flag any IQR outliers in valid_records so I can spot bad batches?"},{"title":"Detect outliers in records validation counts","prompt":"Here are 80 rows of checked_records counts across our validation runs — can you find any duplicate row IDs and flag which rows have statistically unusual checked_records values using IQR?"},{"title":"Data quality monitoring for multiple dataset groups","prompt":"I want to audit schema conformity data for three dataset groups over the past month — about 150 rows total. Run the duplicate key report and IQR outlier check on valid_records so I know which dates or groups have suspect data."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) IQR-based outlier flags indicating which rows have statistically anomalous values in the selected field (valid_records or checked_records). Both reports are computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, valid_records, checked_records) cause row-level validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Null values in the selected numeric field may reduce outlier detection accuracy","All values identical — IQR of zero means no outliers flagged even if data is suspicious","Single-row input makes IQR computation meaningless"],"whenToPreferThis":"Use this endpoint when you have tabular schema conformity records and need both duplicate key detection and statistical outlier flagging in a single low-cost call. Prefer this over generic data-quality tools when your data specifically tracks valid_records and checked_records per row with date and group identifiers, and you want IQR-based (robust, non-parametric) outlier detection rather than z-score or ML-based methods. Best for batch offline analysis of up to 200 rows rather than streaming or real-time monitoring.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:13.917Z","isFirstParty":false,"canonicalSlug":"schema-conformity-duplicate-key-report-iqr-outlier-flags-e1297441"}