{"uid":"cap_bmgW6ZXDBMvBReGNYzH4w","slug":"purchase-order-imports-csv-numeric-type-check-3e25d335","name":"Purchase Order Imports CSV Numeric Type Check","description":"Purchase order imports — Numeric type check: Numeric type check for Purchase 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-purchases-types?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"purchase_id,placed_on,vendor_id,ordered_units,order_amount\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_shUMtNv9qm9YAII7j17-o","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 all numeric fields in a purchase order CSV conform to expected numeric types and range constraints, returning a type-check report.","exampleAgentPrompt":"Can you run a numeric type check on my purchase order CSV — it uses comma delimiters, has columns like purchase_id, placed_on, vendor_id, ordered_units, and order_amount, and I want to make sure the numeric fields fall between -1000000000000 and 1000000000000?","exampleUseCases":[{"title":"Pre-import data quality gate","prompt":"Before I push this purchase order CSV into our ERP, can you validate that all numeric columns like ordered_units and order_amount actually contain valid numbers and nothing is out of range? The file uses comma delimiters and values should be between 0 and 1000000."},{"title":"Detecting bad vendor data","prompt":"I got a CSV export from a vendor with purchase order data and I'm worried some rows have text or blanks in the amount columns — can you run a numeric type check on it to find any rows that would fail?"},{"title":"Automated PO pipeline validation","prompt":"As part of our nightly purchase order ingestion, check this CSV for numeric type errors in the ordered_units and order_amount fields — flag any rows where those values aren't valid numbers or exceed 999999999."}],"resultDescription":"Returns a structured numeric type-check report for the submitted purchase order CSV, listing which rows and cells fail numeric validation, which values fall outside the configured min/max range, and an overall pass/fail status. Up to 1000 rows are evaluated per call.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows submitted — rows beyond limit may be ignored or rejected","Non-supported delimiter used — validation fails to parse columns correctly","Malformed CSV (unclosed quotes, inconsistent columns) — parsing error returned","min/max parameters configured with min greater than max — undefined validation behavior"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, purpose-built numeric type validation specifically scoped to purchase order CSV schemas (purchase_id, placed_on, vendor_id, ordered_units, order_amount). It is ideal for pre-import validation pipelines, vendor data QA, and procurement data quality checks where you want to confirm numeric columns are well-formed without sending data to a general-purpose enrichment or transformation service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:04:46.068Z","isFirstParty":false,"canonicalSlug":"purchase-order-imports-csv-numeric-type-check-3e25d335"}