{"uid":"cap_8Fcsq1PX9lqZOWpPwdXU4","slug":"data-catalog-coverage-record-quality-audit-adjacent-row-changes-dc30eb55","name":"Data Catalog Coverage — Record Quality Audit + Adjacent Row Changes","description":"Data catalog coverage — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied data catalog coverage records (documented_fields, total_fields). 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-21-011?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","documented_fields","total_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"documented_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_fields":1,"dataset_group":"group-a","documented_fields":10},{"date":"2026-10-02","row_id":"row-2","total_fields":2,"dataset_group":"group-b","documented_fields":20},{"date":"2026-10-03","row_id":"row-3","total_fields":3,"dataset_group":"group-a","documented_fields":15},{"date":"2026-10-04","row_id":"row-4","total_fields":4,"dataset_group":"group-b","documented_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["documented_fields","total_fields"],"type":"string","default":"documented_fields"}}},"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_wEL8OzE--SYcJ3-gUdO1Y","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 data catalog coverage rows: a record quality audit and adjacent row change detection, for up to 200 rows of documented_fields/total_fields data.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row change report on my data catalog coverage rows? Here are up to 200 rows with row_id, dataset_group, date, documented_fields, and total_fields — I want both reports run against the documented_fields column.","exampleUseCases":[{"title":"Auditing documentation gaps across dataset groups","prompt":"I have 150 data catalog entries with dataset_group, documented_fields, and total_fields for each. Can you run a record quality audit on them to surface any rows with bad or missing values, using documented_fields as the focus column?"},{"title":"Detecting coverage drift between consecutive catalog records","prompt":"My team updates catalog coverage daily — can you check these 80 rows of catalog records sorted by date and flag where adjacent rows show significant changes in total_fields coverage?"},{"title":"Validating catalog completeness before a data governance review","prompt":"Before our governance review, I need to audit these 200 catalog rows across our dataset groups for record quality issues and also see how documented_fields changes from one row to the next — can you run both reports?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries in the supplied rows; and (2) an adjacent row change analysis showing how documented_fields or total_fields values shift between consecutive rows, all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, documented_fields, or total_fields) cause row-level errors","Invalid date format (not YYYY-MM-DD) triggers validation failure","field enum value not one of 'documented_fields' or 'total_fields' causes error","Null numeric values may reduce quality of adjacent change detection","Payment of 0.01 USDC not included — x402 payment required before processing"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical reports — record quality audit plus adjacent row change detection — on data catalog coverage records with documented_fields and total_fields metrics, without requiring live data lookups or external integrations. It is ideal for lightweight, self-contained data quality checks within a data governance or catalog management workflow, especially when working with up to 200 rows of catalog data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:37.666Z","isFirstParty":false,"canonicalSlug":"data-catalog-coverage-record-quality-audit-adjacent-row-changes-dc30eb55"}