{"uid":"cap_Ab6rXJuPV5nIKeGyomi8L","slug":"product-imports-csv-numeric-type-check-6c8052bf","name":"Product Imports CSV Numeric Type Check","description":"Product imports — Numeric type check: Numeric type check 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 numeric type check report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-products-types?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_-zSFqHQP7wtRtVDA1JCAW","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 that numeric columns in a product import CSV contain properly typed numeric values, flagging non-numeric cells and range violations.","exampleAgentPrompt":"Can you run a numeric type check on my product import CSV — it has columns like sku, introduced_on, category_id, list_price, and unit_weight_kg — and flag any rows where the numeric fields contain non-numeric values or fall outside 0 to 1000000?","exampleUseCases":[{"title":"Pre-import product catalog validation","prompt":"I have a product CSV with list_price and unit_weight_kg columns and I need to make sure all those numeric fields are actually numbers and nothing is below 0 or above 50000 before I import it — can you run a numeric type check on it?"},{"title":"Detecting corrupt rows in supplier feed","prompt":"My supplier just sent me a product data file as a CSV with a semicolon delimiter and I suspect some of the price and weight cells got corrupted with text — can you check all the numeric columns and tell me which rows have bad values?"},{"title":"Category-restricted product data QA","prompt":"I need to validate this product import CSV where categories should only be group-a or group-b, and numeric prices must be between 1 and 9999 — can you run the numeric type check and flag anything that looks wrong?"}],"resultDescription":"A CSV numeric type check report indicating which cells or rows failed numeric type validation, including details on non-numeric values and out-of-range numbers across the declared columns, covering up to 1000 rows.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV contains fewer than 1 character — rejected as empty","Delimiter mismatch causes all rows to parse as single-column — produces unexpected results","max_cell_length set too low truncates valid cells — may cause false positives","allowed_categories list mismatch with actual data — all category cells flagged","Rows beyond 1000 are silently ignored — partial validation only"],"whenToPreferThis":"Use this endpoint when you need lightweight, fast numeric type validation specifically for product import CSV files (up to 1000 rows) before loading into a database or e-commerce platform. It is purpose-built for product schemas with fields like SKU, price, and weight, and supports configurable numeric ranges and allowed category values. Prefer it over generic CSV validators when you need a specialized product-import preset with quoted-cell support and no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:46:12.366Z","isFirstParty":false,"canonicalSlug":"product-imports-csv-numeric-type-check-6c8052bf"}