{"uid":"cap_8Q2OPEoxMwXyXclWFrHUy","slug":"dataset-partition-sizes-category-frequencies-adjacent-row-changes-4ab39dcf","name":"Dataset Partition Sizes — Category Frequencies + Adjacent Row Changes","description":"Dataset partition sizes — Category frequencies + Adjacent row changes: Category frequencies + 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-07-104?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_bViQePwApMdeMXVMFB7ND","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":"Analyzes dataset partition size records (row_count, file_mb) producing two local analytical reports: category frequency distribution and adjacent row change detection.","exampleAgentPrompt":"Analyze these 4 partition size records — rows with row_id, dataset_group, date, row_count, and file_mb — and give me two reports: one showing how often each dataset_group appears (category frequencies) and one showing how row_count changes between adjacent rows.","exampleUseCases":[{"title":"Partition growth audit for ETL pipeline","prompt":"I have a list of daily dataset partition records with row counts and file sizes grouped by table name — can you run category frequency and adjacent row change analysis on them so I can see which tables appear most and how row counts are shifting day over day?"},{"title":"File size anomaly detection across groups","prompt":"Here are 50 partition snapshot records with file_mb values — run the two-report analysis on file_mb so I can see the frequency of each dataset group and flag any big jumps or drops between consecutive records."},{"title":"Data quality check on partition metadata","prompt":"I want to validate my partition size logs — send these records through category frequency and adjacent row change analysis on row_count so I can spot uneven group distributions and sudden row count spikes."}],"resultDescription":"Two independent analytical reports: (1) category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) adjacent row changes report showing the delta in the selected numeric field (row_count or file_mb) between consecutive records. Results are computed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","Missing required fields (row_id, dataset_group, date, row_count, file_mb) — schema validation failure","Date field not in YYYY-MM-DD format — pattern validation error","Numeric fields (row_count, file_mb) out of allowed range — validation error","Payment not included or insufficient USDC — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need two quick, local statistical reports — category frequency counts and sequential row-to-row change detection — on dataset partition size records without requiring any external data sources, live lookups, or ML predictions. Ideal for lightweight data engineering audits on up to 200 rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:45.133Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-category-frequencies-adjacent-row-changes-4ab39dcf"}