{"uid":"cap_oLawhkLCgGy-cBOY1rzlG","slug":"dataset-partition-sizes-numeric-distribution-iqr-outlier-flags-c84ac17a","name":"Dataset Partition Sizes — Numeric Distribution + IQR Outlier Flags","description":"Dataset partition sizes — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags for supplied dataset partition sizes records (row_count, file_mb). 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-07-080?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","row_count","file_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"file_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","file_mb":1,"row_count":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","file_mb":2,"row_count":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","file_mb":3,"row_count":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","file_mb":4,"row_count":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["row_count","file_mb"],"type":"string","default":"row_count"}}},"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_i0FzIyN_mI8S5dmKVjE2N","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":"Computes numeric distribution statistics and IQR-based outlier flags for dataset partition size metrics (row_count or file_mb) across up to 200 supplied records.","exampleAgentPrompt":"Analyze the distribution and flag IQR outliers for these dataset partition records — I have 4 partitions from group-a and group-b dated 2026-10-01 through 2026-10-04, and I want to analyze the row_count field.","exampleUseCases":[{"title":"ETL pipeline partition size audit","prompt":"I have 150 daily dataset partitions and I want to know which ones have suspiciously high or low row_count values — can you run the numeric distribution and IQR outlier detection on them?"},{"title":"File size skew detection across dataset groups","prompt":"Check the distribution of file_mb values across these 80 dataset partitions split between group-a and group-b, and flag any that fall outside the IQR bounds as outliers."},{"title":"Data quality check before ingestion","prompt":"Before I ingest these 200 partition records into our warehouse, can you run the numeric distribution and IQR outlier report on the row_count field so I can catch any badly sized partitions?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summary (min, max, mean, median, quartiles, std dev, etc.) and (2) IQR-based outlier flags identifying which records fall below Q1−1.5×IQR or above Q3+1.5×IQR for the selected field (row_count or file_mb), across up to 200 input rows.","failureModes":["Input array empty or missing — returns validation error","More than 200 rows supplied — rejected at schema level","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value out of allowed numeric range — schema rejection","Null values in selected field may reduce effective sample size for distribution","row_id missing or exceeds 80 characters — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have pre-collected dataset partition records (row_count and/or file_mb) and need both a distributional summary and IQR outlier flags in a single call, without any external data lookup or live system access. Ideal for data engineers auditing ETL pipeline partition consistency, data quality workflows, or anomaly pre-screening before ingestion — especially when cost efficiency matters (two reports for $0.01 USDC, up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T07:12:38.416Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-numeric-distribution-iqr-outlier-flags-c84ac17a"}