{"uid":"cap_SC7d7LsJes0UqHvq3m0IM","slug":"inventory-administration-record-quality-audit-date-by-category-pivot-a924b78f","name":"Inventory Administration — Record Quality Audit + Date by Category Pivot","description":"Inventory administration — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied inventory administration records (count_sessions, discrepancy_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-operations-21-017?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","count_sessions","discrepancy_count"],"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},"count_sessions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"discrepancy_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","count_sessions":10,"discrepancy_count":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","count_sessions":20,"discrepancy_count":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","count_sessions":15,"discrepancy_count":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","count_sessions":30,"discrepancy_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["count_sessions","discrepancy_count"],"type":"string","default":"count_sessions"}}},"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_UgJiNj5Mu1vkWWvX9nY26","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 inventory session data: a record quality audit and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on my inventory session data? I have rows with team groups like 'warehouse-a' and 'warehouse-b', dates from 2025-01-01 to 2025-01-10, count_sessions and discrepancy_count values — use count_sessions as the pivot field.","exampleUseCases":[{"title":"Weekly inventory discrepancy review","prompt":"I've got 50 rows of inventory session records from last week — each row has a team group, a date, a session count, and a discrepancy count. Can you run a quality audit and pivot the discrepancy_count by date and team group so I can see where the problems are?"},{"title":"Operations data quality check","prompt":"Before I send this inventory data to my manager, can you run a record quality audit on these 120 rows? They each have a row_id, team_group, date, count_sessions, and discrepancy_count. I want to catch any bad records and get a date-by-category breakdown using count_sessions as the field."},{"title":"Monthly session count pivot for team reporting","prompt":"I need to summarize this month's inventory sessions by date and team group — I have about 180 rows with count_sessions and discrepancy_count. Can you audit the record quality and give me a pivot table using count_sessions so I can report to each team?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit flagging data issues across the supplied rows, and (2) a date-by-category pivot table summarizing the selected numeric field (count_sessions or discrepancy_count) grouped by date and team_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Rows exceeding 200 items will be rejected — keep input within maxItems limit","Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) will cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) will cause row rejection","Null numeric values are allowed but may reduce pivot accuracy","Selecting an invalid field enum value will return an error"],"whenToPreferThis":"Use this endpoint when you have up to 200 inventory administration records with session counts and discrepancy counts and need both a data quality audit and a date-grouped pivot in a single low-cost call. It is ideal for batch offline analysis of structured inventory data where no live data lookup, prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:40.460Z","isFirstParty":false,"canonicalSlug":"inventory-administration-record-quality-audit-date-by-category-pivot-a924b78f"}