{"uid":"cap_7uwlNxGJem_5yOlO_nOpj","slug":"inventory-imports-valid-row-export-959df6d0","name":"Inventory Imports — Valid Row Export","description":"Inventory imports — Valid row export: Valid row export for Inventory imports. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV valid row export report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-inventory-valid-rows?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"stock_id,counted_on,warehouse_id,on_hand,reserved_units\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3","maxLength":100000,"minLength":1},"maximum":{"type":"number","default":1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":-1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"delimiter":{"enum":[",",";","\t"],"type":"string","default":","},"max_cell_length":{"type":"integer","default":1000,"maximum":5000,"minimum":1},"allowed_categories":{"type":"array","items":{"type":"string","default":"","maxLength":100,"minLength":1},"default":["group-a","group-b"],"maxItems":100,"minItems":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_CFDDkXXBcY8cwB0dPTtA5","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":"Validates a CSV inventory import file and returns only the valid rows, checking stock IDs, dates, warehouse IDs, quantities, and allowed categories against configurable rules.","exampleAgentPrompt":"Can you validate this inventory CSV and give me back only the valid rows? The file uses comma delimiters, warehouse categories are 'group-a' and 'group-b', on-hand quantities should be between 0 and 500000, and each cell shouldn't exceed 1000 characters.","exampleUseCases":[{"title":"Pre-import warehouse stock validation","prompt":"I have a CSV of stock counts from three warehouses — categories are 'wh-east', 'wh-west', and 'wh-central' — and I need to know which rows are valid before I push them into our inventory system. Quantities should be between 0 and 999999. Can you run the validation and export just the clean rows?"},{"title":"Retail inventory reconciliation cleanup","prompt":"I've got an inventory CSV from our retail stock count with comma delimiters and I only want to keep rows where on_hand is between -100 and 50000 and warehouse_id is one of 'store-01', 'store-02', or 'store-03'. Can you validate it and pull out only the rows that pass?"},{"title":"Automated nightly inventory import check","prompt":"Every night we get a stock CSV from our ERP and need to extract only the valid inventory rows before processing — categories allowed are 'region-north' and 'region-south', values should stay between 0 and 1000000, and cells can be at most 500 characters. Please validate tonight's file and give me the valid rows report."}],"resultDescription":"A report containing only the rows from the submitted CSV that passed all validation rules — including column structure checks, numeric range enforcement (minimum/maximum), allowed category membership for warehouse IDs, and cell-length constraints — with up to 1000 rows evaluated.","failureModes":["CSV exceeds 100,000 character limit — request rejected","Delimiter mismatch causes all rows to fail parsing","No rows pass validation — empty valid-row result returned","Cell exceeds max_cell_length — that row marked invalid","Numeric values outside min/max range — rows excluded from output","CSV malformed or unquoted — parsing errors on affected rows","More than 1000 rows submitted — only first 1000 evaluated"],"whenToPreferThis":"Choose this endpoint when you need to validate inventory-specific CSV imports (with fields like stock_id, counted_on, warehouse_id, on_hand, reserved_units) and want only the passing rows returned as a structured report. It is purpose-built for inventory import validation with configurable category allowlists and numeric range enforcement, making it preferable over generic CSV validators when your use case is warehouse or stock-count data ingestion.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:19.401Z","isFirstParty":false,"canonicalSlug":"inventory-imports-valid-row-export-959df6d0"}