{"uid":"cap_y-w4IE75FO5kjMaoB5Vsi","slug":"dataset-partition-sizes-adjacent-row-changes-equal-width-histogram-e365000a","name":"Dataset Partition Sizes — Adjacent Row Changes + Equal-Width Histogram","description":"Dataset partition sizes — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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-07-156?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_qNn5s0YCXUjZLW9nbQP09","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 analytical reports on dataset partition size records (row_count or file_mb): an adjacent row changes analysis and an equal-width histogram, for up to 200 rows.","exampleAgentPrompt":"Analyze adjacent row-to-row changes and build a 10-bin equal-width histogram for my dataset partitions — I'm looking at row_count across these records: group-a on 2024-01-01 had 5000 rows and 12 MB, group-b on 2024-01-02 had 7500 rows and 18 MB, group-a on 2024-01-03 had 4800 rows and 11.5 MB.","exampleUseCases":[{"title":"Partition growth anomaly detection","prompt":"I have 50 daily dataset partition snapshots with row counts and file sizes — can you run the adjacent row changes report on row_count with 8 histogram bins so I can spot any unexpected jumps between consecutive partitions?"},{"title":"File size distribution for capacity planning","prompt":"Run a 15-bin equal-width histogram on file_mb for my partition records so I can see how storage is distributed across these 120 dataset partitions — I need to plan storage allocation."},{"title":"Dataset group comparison over time","prompt":"I want to see how row counts changed day-over-day for my group-a and group-b partitions over the last quarter — run the adjacent changes report with 5 bins on row_count for these records."}],"resultDescription":"Returns two independent analytical reports: (1) an adjacent row changes report showing delta values between consecutive records for the selected field (row_count or file_mb), and (2) an equal-width histogram report dividing the selected field's values into the specified number of bins with frequency counts. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows supplied — request rejected, reduce input to ≤200 rows","Invalid date format (not YYYY-MM-DD) causes validation error","bins value outside 1–30 range causes schema validation failure","Missing required fields (row_id, dataset_group, date, row_count, file_mb) causes item rejection","All null values in the selected field may produce empty or degenerate histogram","Malformed JSON body returns 400-level error"],"whenToPreferThis":"Choose this endpoint when you need both a sequential change analysis and a frequency distribution for dataset partition size metrics (row_count or file_mb) in a single low-cost call. It is ideal for data engineering workflows where you want to detect row-by-row growth anomalies alongside an overall size distribution, without needing an external analytics platform. Best for batch analysis of up to 200 partition records in one shot at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:37.864Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-adjacent-row-changes-equal-width-histogram-e365000a"}