{"uid":"cap_P5ooHd4j3XdEz-vtR7Tq8","slug":"product-imports-invalid-row-export-6633c809","name":"Product Imports — Invalid Row Export","description":"Product imports — Invalid row export: Invalid row export for Product 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 invalid row export report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-products-invalid-rows?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"sku,introduced_on,category_id,list_price,unit_weight_kg\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_CP0pOCnhgru3rPVWw13NP","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 product CSV against declared schema rules and returns a report of all invalid rows, including which rows fail and why.","exampleAgentPrompt":"Check my product CSV for invalid rows — it uses comma delimiters, allowed categories are group-a and group-b, and prices should be between 0 and 9999. Here's the CSV: sku,introduced_on,category_id,list_price,unit_weight_kg\\nrecord-a,2026-01-01,group-c,10,2","exampleUseCases":[{"title":"Pre-import product data quality check","prompt":"Before I upload this product catalog CSV to our system, can you scan it for any invalid rows? The file uses commas as delimiters, valid categories are group-a, group-b, and group-c, and prices must be between 1 and 5000."},{"title":"Catching bad category IDs in bulk product upload","prompt":"I have a product CSV with about 800 rows and I need to know which ones have category IDs that aren't in our approved list of cat-electronics, cat-apparel, and cat-home. Can you run the invalid row export on it?"},{"title":"Validating numeric ranges for product listings","prompt":"Can you validate this product import CSV and flag any rows where list_price is below 0.01 or above 100000, or unit_weight_kg is negative? Use semicolons as the delimiter."}],"resultDescription":"Returns a structured report identifying which rows in the submitted product CSV are invalid, along with the specific validation failures for each row (e.g. out-of-range numeric values, disallowed category IDs, malformed cells, or rows exceeding cell length limits). Up to 1000 rows are processed per call.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows submitted — may truncate or error","Invalid delimiter specified — must be comma, semicolon, or tab","Cell exceeds max_cell_length — flagged as invalid or rejected","Malformed CSV with unbalanced quotes — parsing error returned","Empty CSV body — validation fails with no rows to process"],"whenToPreferThis":"Use this endpoint when you need to validate a product-specific CSV (with fields like SKU, category_id, list_price, unit_weight_kg) against declared business rules such as allowed category lists and numeric ranges, and you want a targeted report of only the invalid rows. Prefer this over generic CSV validators when the domain is product imports and you need category allowlist enforcement alongside numeric bound checking in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:45.951Z","isFirstParty":false,"canonicalSlug":"product-imports-invalid-row-export-6633c809"}