{"uid":"cap_MuYWDw-US6Iifq6s1_-XH","slug":"dataset-storage-record-quality-audit-adjacent-row-changes-f8c425b7","name":"Dataset Storage Record Quality Audit + Adjacent Row Changes","description":"Dataset storage — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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-18-011?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"}}},"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_Y1m1gH7jFIs88AtxRfhDX","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 storage records: a record quality audit and adjacent-row change detection for used_mb or row_count fields, across up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row changes report on my dataset storage data? Here are up to 200 rows with row_id, dataset_group, date, used_mb, and row_count fields — analyze the used_mb field for quality issues and row-to-row changes.","exampleUseCases":[{"title":"Storage growth spike detection","prompt":"I have a series of daily dataset storage records with used_mb values across a few groups — can you run the record quality audit and adjacent row changes analysis on them so I can spot any sudden spikes or suspicious jumps between consecutive days?"},{"title":"Row count drift monitoring","prompt":"Check these 150 dataset storage records for quality issues and flag any significant row-to-row changes in the row_count field — I want to know if any records look malformed and where the biggest shifts between adjacent entries are."},{"title":"Pre-pipeline data validation","prompt":"Before I load this batch of dataset storage records into our pipeline, can you audit them for quality problems and also show me the adjacent row changes for used_mb so I can catch any bad data early?"}],"resultDescription":"Returns two analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries across the submitted rows, and (2) an adjacent row changes report showing delta values between consecutive rows for the selected field (used_mb or row_count), all computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — returns validation error","More than 200 rows submitted — rejected, exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid field enum value (not 'used_mb' or 'row_count') — rejected","Missing required fields (row_id, dataset_group, date) — validation error","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) dual-report analysis of dataset storage records — specifically a quality audit plus adjacent row change detection — on batches up to 200 rows, all computed locally without any external data lookups or live integrations. Prefer it over general-purpose analytics tools when working within dataset storage contexts (used_mb, row_count) and needing combined quality + sequential-change insight in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:00.278Z","isFirstParty":false,"canonicalSlug":"dataset-storage-record-quality-audit-adjacent-row-changes-f8c425b7"}