{"uid":"cap_p6_Pr3oN0NqqHfLqmk-74","slug":"sampling-observations-exact-row-deduplication-iqr-outlier-flags-c3b35f12","name":"Sampling Observations — Exact Row Deduplication + IQR Outlier Flags","description":"Sampling observations — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags for supplied sampling observations records (sample_value, sample_weight). 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-15-049?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_OfHS8l8Vyp7Jrdgeo-6C1","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":"Deduplicates exact duplicate rows and flags IQR-based outliers in sampling observation records with sample_value and sample_weight fields, producing two analytical reports per call.","exampleAgentPrompt":"Can you check my sampling observations for exact duplicate rows and flag any IQR outliers in the sample_value field? I have about 50 rows across two groups with dates, sample values, and sample weights.","exampleUseCases":[{"title":"Survey data deduplication and outlier audit","prompt":"I have 120 survey sampling records with row IDs, dates, group labels, sample values, and weights — can you find any exact duplicate rows and flag which sample_value entries are IQR outliers before I run my analysis?"},{"title":"Lab sample quality check before reporting","prompt":"Before I finalize my lab report, can you run a deduplication and IQR outlier check on these 80 lab sampling observations? I want to know if any rows are repeated and which sample_weight values look anomalous."},{"title":"Market research sample validation","prompt":"I need to validate my market research sample dataset — about 150 rows with group tags, dates, and sample values — can you deduplicate exact matches and flag any sample_value outliers using IQR so I can clean it up?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying which rows among the submitted records are identical across all fields, and (2) an IQR outlier flag report identifying which rows have sample_value or sample_weight values that fall outside the interquartile range boundaries. No live lookups or external data are used; all analysis runs on the submitted data only.","failureModes":["Payload exceeds 200 rows — request rejected","Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) — validation error","Date field does not match YYYY-MM-DD pattern — schema error","Numeric values outside allowed range (-1T to +1T) — schema rejection","Fewer than 1 row submitted — minimum items constraint violated","Too few data points to compute IQR (e.g. single row) — degenerate output","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 sampling observation records and need both exact duplicate detection and IQR-based outlier flagging in a single low-cost call ($0.01 USDC). It is ideal for pre-analysis data cleaning pipelines where you want to identify repeated records and statistically anomalous values without external lookups or predictions. Prefer this over general-purpose data tools when your data specifically has sample_value and sample_weight fields organized by group and date, and you need two structured analytical reports in one pass.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:51.557Z","isFirstParty":false,"canonicalSlug":"sampling-observations-exact-row-deduplication-iqr-outlier-flags-c3b35f12"}