{"uid":"cap_62CFU4EYk2NE3O5I5ipzA","slug":"dataset-storage-analytics-record-quality-audit-string-normalisation-fda7d7ed","name":"Dataset Storage Analytics: Record Quality Audit + String Normalisation + Base-100 Series","description":"Dataset storage — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied dataset storage records (used_mb, row_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_VNQ66YAd0i7eeLxEWr3Hn","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 three analytical reports on up to 200 dataset storage records — a record quality audit, string normalisation, and a base-100 index series — for supplied used_mb and row_count data.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and base-100 index series on my dataset storage rows? I have 4 rows across groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04 with used_mb values, and I want the base-100 series indexed from row 0 on the used_mb field.","exampleUseCases":[{"title":"Storage usage quality audit","prompt":"I have a list of 50 dataset storage records with dates, used_mb, and row_count values — can you audit them for quality issues, normalise the dataset_group strings, and produce a base-100 index series on used_mb starting from the first row?"},{"title":"Row count trend indexing","prompt":"Can you take my 30 storage dataset rows and generate a base-100 series on the row_count field starting from index 0, plus run a quality audit and string normalisation on the dataset_group names?"},{"title":"Multi-group dataset validation","prompt":"I've got storage records for two dataset groups over the past quarter — about 80 rows total with used_mb and row_count — please audit them for record quality, normalise the string fields, and compute a base-100 series on used_mb from the beginning."}],"resultDescription":"Returns three independent analytical reports for the supplied dataset storage rows: (1) a record quality audit flagging completeness and anomalies, (2) a string normalisation report for text fields like dataset_group, and (3) a base-100 index series for the chosen numeric field (used_mb or row_count) anchored at the specified base_index row. All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, dataset_group, used_mb, or row_count) — validation error","date field does not match YYYY-MM-DD pattern — schema validation failure","base_index out of range for the supplied row count — index error","All null values in the selected numeric field — base-100 series cannot be computed","Malformed JSON body — request parse error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset storage records and need all three of a quality audit, string normalisation, and base-100 series in a single low-cost call ($0.01 USDC). It is a self-contained, local analytical service — ideal when you do not need live data lookups, predictions, or external enrichment, and want a bundled multi-report output for storage metrics (used_mb, row_count) across named dataset groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:01.757Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-record-quality-audit-string-normalisation-fda7d7ed"}