{"uid":"cap_yShuM_qhSMkoMnOiedaxh","slug":"sampling-observations-record-quality-audit-exact-row-deduplication-f5db3d2b","name":"Sampling Observations — Record Quality Audit + Exact Row Deduplication + IQR Outlier Flags","description":"Sampling observations — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied sampling observations records (sample_value, sample_weight). 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-15-220?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","sample_value","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"}}},"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_SoQV5MmrySq8kpAkrSYOn","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 local analytical reports on up to 200 sampling observation rows: a record quality audit, exact row deduplication, and IQR-based outlier detection for sample_value or sample_weight.","exampleAgentPrompt":"Can you audit my sampling observations for quality issues, exact duplicates, and IQR outlier flags? I have up to 50 rows with fields like row_id, dataset_group, date, sample_value, and sample_weight — run all three reports on the sample_value field.","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"Before I run my analysis, can you check these 80 sampling observation rows for record quality problems, exact duplicates, and IQR outliers on the sample_value field? I want all three reports at once."},{"title":"Detecting outlier sample weights","prompt":"I need to find outlier rows based on IQR in the sample_weight field across my 120 grouped observations — also flag any quality issues or exact duplicate records while you're at it."},{"title":"Deduplication audit for merged datasets","prompt":"I've merged two datasets of sampling observations and I'm worried there are duplicate rows — can you run the exact deduplication report along with the quality audit and IQR outlier check on sample_value for these 200 rows?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit identifying missing, malformed, or invalid field values; (2) an exact row deduplication report listing duplicate records; and (3) IQR-based outlier flags for the selected numeric field (sample_value or sample_weight). All reports are computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes schema rejection","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Numeric values outside [-1e12, 1e12] range are rejected","Empty rows array is rejected (minItems: 1)","Invalid field enum value (anything other than sample_value or sample_weight) causes error"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous data quality reports (quality audit, deduplication, and IQR outlier detection) on sampling observation records in a single low-cost call. Ideal for pre-analysis data cleaning pipelines where sample_value and sample_weight are the key numeric fields. Best suited for datasets under 200 rows that require offline, deterministic analysis with no external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:55.091Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-exact-row-deduplication-f5db3d2b"}