{"uid":"cap_YkLJffHs9F1ZWcjbp0OL4","slug":"inventory-administration-analytics-base-100-series-date-by-category-b3803d15","name":"Inventory Administration Analytics — Base-100 Series + Date-by-Category Pivot","description":"Inventory administration — Base-100 series + Date by category pivot: Base-100 series + 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-21-167?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"},"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_DNFc2BLx8L9G4mUxQAH5Q","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":"Generates two analytical reports (a Base-100 index series and a date-by-category pivot table) from supplied inventory administration data covering count_sessions and discrepancy_count metrics.","exampleAgentPrompt":"Can you run a base-100 index series and a date-by-category pivot on my inventory data? I have rows with team_group, date, count_sessions, and discrepancy_count — use count_sessions as the field and start the index at row 0.","exampleUseCases":[{"title":"Warehouse session trend indexing","prompt":"I have 4 months of inventory count session data across two warehouse teams and I want to see how performance has trended — can you index all the count_sessions values to base-100 starting from the first row and also give me a pivot by date and team?"},{"title":"Discrepancy audit pivot report","prompt":"Run a discrepancy_count pivot by date and team_group on this inventory audit data I'm uploading — I need both the base-100 series and the cross-tab pivot, using discrepancy_count as the field and row index 0 as the baseline."},{"title":"Multi-team inventory comparison","prompt":"I want to compare how group-a and group-b have performed over the last quarter in terms of inventory session counts. Can you produce a base-100 indexed series and a date-by-category breakdown using count_sessions, anchored at the first row?"}],"resultDescription":"Returns two analytical reports: (1) a Base-100 index series showing each row's selected metric (count_sessions or discrepancy_count) normalized relative to the designated base row, and (2) a date-by-category pivot table cross-tabulating the selected metric by date and team_group. Covers up to 200 input rows using local analytical computation with no external data lookups.","failureModes":["More than 200 rows submitted — endpoint rejects with validation error","Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) cause schema validation failure","Invalid date format (not YYYY-MM-DD) causes rejection","base_index out of range (>=number of rows) may cause division or index error","Null values in the selected metric field may produce null entries in series output","Field enum value not in ['count_sessions','discrepancy_count'] causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of inventory administration data with team/group and date dimensions and need both a normalized trend index (base-100 series) and a categorical pivot in a single low-cost call. It is a local computation service — no internet lookups, predictions, or external integrations — making it ideal for self-contained batch analytics on structured inventory records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:48.986Z","isFirstParty":false,"canonicalSlug":"inventory-administration-analytics-base-100-series-date-by-category-b3803d15"}