{"uid":"cap_o7QnAuqwCcEnkyI38FpVs","slug":"dataset-storage-iqr-outlier-flags-keyed-dataset-comparison-83d5b7f9","name":"Dataset Storage IQR Outlier Flags + Keyed Dataset Comparison","description":"Dataset storage — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison for supplied dataset storage records (used_mb, row_count). 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-18-179?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_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","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":21,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":17,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":33,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_FjMDC4c023y4EE7AGJiw7","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":"Performs IQR-based outlier detection and keyed row-by-row comparison on two supplied dataset storage snapshots (used_mb, row_count) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run IQR outlier detection on my dataset storage rows and also compare them against last week's snapshot? Here are two sets of records with row_id, dataset_group, date, used_mb, and row_count — flag any outliers in used_mb and show me which rows changed between the two datasets.","exampleUseCases":[{"title":"Storage anomaly detection after ETL job","prompt":"I just ran an ETL job and want to know if any of my dataset storage records have abnormal used_mb values — can you run IQR outlier flagging on these rows and also diff them against the pre-ETL snapshot to see what changed?"},{"title":"Weekly storage health check across groups","prompt":"Here are this week's and last week's dataset storage snapshots by group — can you flag any IQR outliers in row_count and also do a keyed comparison to highlight which rows differ between the two weeks?"},{"title":"Pre-migration data quality audit","prompt":"Before we migrate these datasets, can you check for outlier used_mb values using IQR across all these storage records and compare the current state against our baseline snapshot to confirm nothing unexpected changed?"}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have used_mb or row_count values outside the interquartile range, and (2) a keyed row-by-row comparison between the primary and secondary dataset, highlighting differences per row_id. Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, used_mb, row_count) on any row — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","field enum value not one of 'used_mb' or 'row_count' — rejected","Payment of 0.01 USDC not provided — x402 payment required response","Mismatched row_ids between primary and comparison dataset — comparison report may show all rows as changed or unmatched"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based outlier detection and a keyed diff between two dataset storage snapshots in a single call. It is purpose-built for storage metric analytics (used_mb, row_count) and handles up to 200 rows per call at very low cost. Prefer this over general-purpose analytics when the data is already structured as dataset storage records with group and date keys.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:45.092Z","isFirstParty":false,"canonicalSlug":"dataset-storage-iqr-outlier-flags-keyed-dataset-comparison-83d5b7f9"}