{"uid":"cap_aEM_afZgVvDX_LbMw9YUr","slug":"dataset-storage-record-quality-audit-daily-sum-series-2bef9ddb","name":"Dataset Storage Record Quality Audit + Daily Sum Series","description":"Dataset storage — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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-18-009?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_0T53mYvquo8ufT9Cui6Dj","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 supplied dataset storage records: a record quality audit and a daily sum time series for used_mb or row_count metrics, supporting up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on these storage records — I have about 50 rows across two dataset groups with dates, used_mb, and row_count values — and use used_mb as the metric field?","exampleUseCases":[{"title":"Monthly storage usage audit","prompt":"I've got 120 rows of storage logs from October — each has a date, dataset group, used_mb, and row_count. Can you run the record quality audit and daily used_mb sum series on them so I can spot any bad records and see how storage trended day by day?"},{"title":"Row count trend analysis by date","prompt":"Here are my dataset storage records for the last 60 days across three groups. Can you audit the data quality and generate a daily sum series using row_count so I can see how record volume changed over time?"},{"title":"Data quality check before pipeline handoff","prompt":"Before I pass this storage dataset downstream, can you do a quality audit and daily sum on the used_mb field? I have 80 rows with dates, row IDs, and dataset group labels that I want checked for issues first."}],"resultDescription":"Returns two reports: (1) a record quality audit flagging issues such as missing values, nulls, or anomalous entries across the supplied rows; and (2) a daily sum time series aggregating the selected numeric field (used_mb or row_count) by date. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error — batch must be split","Missing required fields (row_id, dataset_group, date, used_mb, row_count) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error","Supplying an unsupported field enum value (not used_mb or row_count) returns an error","Empty rows array rejected — at least 1 row required","Numeric values outside the allowed range may be rejected or flagged"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a daily aggregated time series computed from user-supplied dataset storage records in a single call, without any external data access or predictions. Ideal for pre-pipeline validation or exploratory storage trend analysis on batches of up to 200 records 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":"2026-10-19T12:46:56.754Z","isFirstParty":false,"canonicalSlug":"dataset-storage-record-quality-audit-daily-sum-series-2bef9ddb"}