{"uid":"cap_aqErOcNg-0oXQWpAUnyNp","slug":"order-imports-csv-numeric-type-check-a76cec02","name":"Order Imports CSV Numeric Type Check","description":"Order imports — Numeric type check: Numeric type check for Order 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-orders-types?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"order_id,ordered_on,customer_id,gross_amount,item_count\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_HhdjMdYTx2EOJOZpya9G2","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 an order import CSV contain properly typed values, returning a per-column type check report for up to 1000 rows.","exampleAgentPrompt":"Can you run a numeric type check on my order imports CSV — it has columns order_id, ordered_on, customer_id, gross_amount, and item_count, comma-delimited — and make sure gross_amount and item_count are valid numbers within the range -1000000000000 to 1000000000000?","exampleUseCases":[{"title":"Pre-import order data validation","prompt":"Before I push these order records into our system, can you validate the CSV for numeric type correctness? It's comma-delimited with columns order_id, ordered_on, customer_id, gross_amount, and item_count — flag any rows where gross_amount or item_count aren't proper numbers."},{"title":"Catching bad data from third-party supplier","prompt":"I got a CSV from our supplier with order data and I'm worried some of the amount columns have text or blank values mixed in. Can you run a numeric type check on it with a minimum of 0 and maximum of 1000000 to find any invalid cells?"},{"title":"Automated order pipeline data quality gate","prompt":"As part of our nightly order import pipeline, check this CSV for numeric type errors — it's semicolon-delimited and I only want to allow category values group-a and group-b, with cell lengths no longer than 500 characters."}],"resultDescription":"A structured report indicating which cells or columns in the order CSV fail numeric type validation, including details on rows with non-numeric values, values outside the specified minimum/maximum bounds, and any category cells not in the allowed list — covering up to 1000 rows of CSV data.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows in CSV — rows beyond limit may be ignored or rejected","Invalid delimiter specified — only comma, semicolon, or tab accepted","Malformed CSV with unclosed quotes — parsing error returned","minimum value greater than maximum value — invalid range error","Cell length exceeds max_cell_length setting — validation error"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) numeric type validation specifically scoped to order import CSV files with up to 1000 rows. It is purpose-built for order data schemas (order_id, ordered_on, customer_id, gross_amount, item_count) and supports configurable numeric bounds and allowed category values. Prefer it over generic CSV validators when you need a fast, cheap pre-import quality gate for order data without external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T00:54:07.148Z","isFirstParty":false,"canonicalSlug":"order-imports-csv-numeric-type-check-a76cec02"}