{"uid":"cap_gs1q-Lpldp22iWNPhq8fM","slug":"dataset-partition-sizes-numeric-distribution-adjacent-row-changes-ebe2e306","name":"Dataset Partition Sizes — Numeric Distribution & Adjacent Row Changes","description":"Dataset partition sizes — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-07-077?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_RSGKcGKA4zkSmy0SjBicf","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 two local statistical reports on supplied dataset partition size records: a numeric distribution analysis and an adjacent-row change detection, for up to 200 rows across row_count and file_mb fields.","exampleAgentPrompt":"Can you run a numeric distribution and adjacent-row change analysis on these partition records? I have 4 rows with dataset groups 'group-a' and 'group-b', dated 2026-10-01 through 2026-10-04, with row_count values of 10, 20, 15, 30 and file_mb of 1, 2, 3, 4 — analyze the row_count field.","exampleUseCases":[{"title":"Partition growth anomaly detection","prompt":"I have daily partition records for our data lake — row_id, date, dataset_group, row_count, and file_mb for each. Can you run an adjacent-row change report on the row_count field so I can spot any sudden jumps or drops between consecutive days?"},{"title":"File size distribution audit","prompt":"Here are 150 partition size records across our ETL datasets with dates, groups, row counts, and file sizes in MB. Run a numeric distribution analysis on the file_mb field so I can understand the spread, typical ranges, and outliers."},{"title":"Multi-group partition stats comparison","prompt":"I've got partition records for three dataset groups over the past month — can you give me both the numeric distribution and adjacent-row changes for the row_count field so I can compare how partition sizes are behaving across groups?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report for the selected field (row_count or file_mb) covering statistical measures such as min, max, mean, median, percentiles, and spread; and (2) an adjacent-row change report showing delta values between consecutive rows in the dataset, helping identify growth patterns or anomalies. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, row_count, file_mb) on any row — validation error","Invalid date format (must match YYYY-MM-DD) — schema rejection","Field selector not one of 'row_count' or 'file_mb' — enum validation failure","All values for selected field are null — distribution report may be empty or error","Payment of 0.01 USDC not provided — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have tabular dataset partition records with row counts and file sizes and need two analytical reports — a numeric distribution and adjacent-row change detection — computed offline from supplied data without any external API calls or predictions. Ideal for data engineers auditing partition growth, detecting size anomalies, or summarizing storage distributions across dataset groups. Not suitable for real-time monitoring, live database queries, or analyses requiring more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T07:11:53.300Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-numeric-distribution-adjacent-row-changes-ebe2e306"}