{"uid":"cap_EIWqBRGCX3w0mhvhRIcfw","slug":"inventory-administration-numeric-interval-filter-base-100-series-a7da75d4","name":"Inventory Administration — Numeric Interval Filter + Base-100 Series","description":"Inventory administration — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series 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-21-128?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000},"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_OLRBNw0soNPfjH7HxCHRC","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":"Filters inventory administration rows by a numeric interval and computes a Base-100 index series for either count_sessions or discrepancy_count fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have inventory admin records for two teams across October 2026 — can you filter rows where count_sessions is between 10 and 25, and also compute a Base-100 index series for count_sessions starting from row index 0? I'll supply up to 4 rows with row_id, team_group, date, count_sessions, and discrepancy_count.","exampleUseCases":[{"title":"Flagging anomalous discrepancy counts","prompt":"From my inventory data for last quarter, filter out any rows where discrepancy_count falls outside the range of 0 to 5, and then give me a Base-100 indexed series for discrepancy_count starting from the first row — I have about 80 records with row_id, team_group, date, count_sessions, and discrepancy_count."},{"title":"Benchmarking session counts by team","prompt":"I want to benchmark my two warehouse teams' session counts against a baseline: filter the rows where count_sessions is between 15 and 50, then produce a Base-100 index for count_sessions anchored to row index 2 — I have 120 rows of inventory admin data with all required fields."},{"title":"Monthly inventory trend normalization","prompt":"Can you take my monthly inventory records — about 60 rows with team_group, date, count_sessions, and discrepancy_count — filter to rows where discrepancy_count is between 1 and 10, and generate a Base-100 series for discrepancy_count starting at index 0 so I can see relative changes month over month?"}],"resultDescription":"Returns two analytical reports: (1) a filtered subset of the supplied inventory rows where the selected field (count_sessions or discrepancy_count) falls within the specified [minimum, maximum] interval; and (2) a Base-100 index series for the selected field anchored to the specified base_index row, expressing each row's value as a percentage relative to that baseline. Up to 200 rows processed per call.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows in the array exceeds the maximum and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","base_index value exceeding the number of supplied rows causes an indexing error","Null values in the selected field may be excluded or cause incomplete series output","minimum greater than maximum may return an empty filtered set or error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected inventory administration records (up to 200 rows) and need both a numeric range filter and a Base-100 normalization index in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external integration is needed — just local computation on supplied data. At $0.01 USDC for two reports, it is cost-effective for routine inventory audits, team performance benchmarking, and trend normalization tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:14.138Z","isFirstParty":false,"canonicalSlug":"inventory-administration-numeric-interval-filter-base-100-series-a7da75d4"}