{"uid":"cap_i2F2840mcmETaiG3Z2Usy","slug":"onboarding-progress-record-quality-audit-adjacent-row-changes-a744c4c1","name":"Onboarding Progress Record Quality Audit & Adjacent Row Changes","description":"Onboarding progress — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied onboarding progress records (completed_steps, required_steps). 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-operations-08-011?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","completed_steps","required_steps"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"required_steps":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completed_steps":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","required_steps":1,"completed_steps":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","required_steps":2,"completed_steps":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","required_steps":3,"completed_steps":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","required_steps":4,"completed_steps":30}],"maxItems":200,"minItems":1},"field":{"enum":["completed_steps","required_steps"],"type":"string","default":"completed_steps"}}},"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_1QpTnHH8Cpw6rTCBaaXDV","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 onboarding progress data: a record quality audit and adjacent row change detection for completed_steps or required_steps fields, across up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row change detection on our onboarding progress data? I have up to 50 rows with completed_steps and required_steps per team and date — I want both reports for the completed_steps field.","exampleUseCases":[{"title":"QA check on team onboarding data","prompt":"I have a CSV of onboarding progress records for our teams with completed_steps and required_steps by date — can you audit them for data quality issues and flag where adjacent rows change significantly in the completed_steps field?"},{"title":"Detecting step count jumps between days","prompt":"Our onboarding tracking data has some weird spikes — can you run an adjacent row change report on these 80 rows of completed_steps data grouped by team_group so I can see where the big jumps are?"},{"title":"Validating required_steps consistency","prompt":"Before I import this onboarding dataset into our warehouse, can you do a quality audit and adjacent row change check on the required_steps field across these records to make sure the data is clean?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or malformed records; and (2) an adjacent row changes report showing differences between consecutive rows for the selected field (completed_steps or required_steps). Both reports are generated locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, team_group, date, completed_steps, required_steps) cause validation errors","Invalid date format (not YYYY-MM-DD) rejected by pattern validation","Field selector not one of 'completed_steps' or 'required_steps' causes enum error","Numeric values outside allowed range (-1T to +1T) rejected"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical reporting on onboarding progress datasets — specifically when you want both a data quality audit and adjacent row change detection in a single call for up to 200 rows. It is ideal for pre-import validation or routine QA of onboarding step tracking data without needing live external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:14.818Z","isFirstParty":false,"canonicalSlug":"onboarding-progress-record-quality-audit-adjacent-row-changes-a744c4c1"}