{"uid":"cap_8xvtyG4F_3hlWqdkcieMn","slug":"inventory-administration-string-normalisation-and-numeric-eec706a9","name":"Inventory Administration String Normalisation and Numeric Distribution Reporter","description":"Inventory administration — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-21-022?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_vtLYvoiH62hgNrEOZfcmG","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 string normalisation and numeric distribution analysis on up to 200 inventory administration rows (count_sessions, discrepancy_count), returning 2 independent analytical reports.","exampleAgentPrompt":"Can you run a string normalisation and numeric distribution report on these 5 inventory administration rows — I need the count_sessions field analyzed, with team groups like 'group-a' and 'group-b' across dates in October 2026?","exampleUseCases":[{"title":"Session count distribution across teams","prompt":"I have 50 rows of inventory data with team_group, date, and count_sessions values — can you run a numeric distribution and string normalisation report on the count_sessions field so I can see how sessions are spread across groups?"},{"title":"Discrepancy count anomaly summary","prompt":"Run a string normalisation and numeric distribution analysis on my inventory records using the discrepancy_count field — I've got about 120 rows covering multiple team groups through Q4 and I need to understand where the numbers cluster."},{"title":"Weekly operations inventory audit","prompt":"I need two analytical reports on my weekly operations inventory data — 80 rows with row IDs, team groups, dates, and discrepancy_count values — give me string normalisation and numeric distribution so I can spot irregularities."}],"resultDescription":"Returns two independent analytical reports for the submitted inventory rows: (1) a string normalisation report covering text fields such as team_group, and (2) a numeric distribution report for the selected field (count_sessions or discrepancy_count), including statistical distribution metrics. No external lookups or predictions are made; all analysis uses local analytical engines on the supplied data.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside allowed range (-1e12 to 1e12) cause validation failure","Invalid field enum value (not count_sessions or discrepancy_count) causes error","Empty rows array (minItems:1 violated) rejected"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline statistical analysis of inventory administration data — specifically string normalisation on categorical fields and numeric distribution on session or discrepancy counts — for up to 200 rows at very low cost ($0.01 for both reports). Prefer this over general analytics platforms when you want a simple dual-report format without live lookups, predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:26.894Z","isFirstParty":false,"canonicalSlug":"inventory-administration-string-normalisation-and-numeric-eec706a9"}