{"uid":"cap_UJb8sm6Zmsoc4rV-bvnUi","slug":"payment-imports-numeric-type-check-f513fdcc","name":"Payment Imports — Numeric Type Check","description":"Payment imports — Numeric type check: Numeric type check for Payment 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-payments-types?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"payment_id,paid_on,invoice_id,paid_amount,processing_fee\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_3cI62F4NWwijberOg75G8","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 payment CSV (amounts, fees, etc.) contain valid numeric values, within configured bounds and category allowlists.","exampleAgentPrompt":"Can you check this payment CSV for numeric type errors — make sure columns like paid_amount and processing_fee only contain valid numbers, with values between -1000000000000 and 1000000000000, using comma as the delimiter and allowing categories group-a and group-b?","exampleUseCases":[{"title":"Pre-import payment data quality check","prompt":"Before I import this payments CSV into our accounting system, can you validate that all the numeric columns like paid_amount and processing_fee actually contain valid numbers and nothing looks like text or a formula? Use comma as the delimiter."},{"title":"Catch out-of-range payment amounts","prompt":"I need to make sure none of the payment amounts in this CSV exceed $5,000,000 or go below zero — can you run a numeric type check and flag any rows that are out of range?"},{"title":"Validate category and amount columns together","prompt":"Can you validate my payment import CSV to confirm the numeric fields are all proper numbers, and also that the invoice_id column only contains the allowed categories group-a and group-b?"}],"resultDescription":"A CSV numeric type check report identifying which cells, rows, or columns fail numeric validation — including values that are non-numeric, out of the configured min/max range, or otherwise malformed — across up to 1000 rows of the submitted payment CSV.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV has zero rows or is empty — validation cannot proceed","Delimiter mismatch causes all rows to parse as single-column — misleading results","Non-UTF8 or binary content in CSV — parsing error","More than 1000 rows submitted — rows beyond limit may be ignored or rejected","min/max bounds configured incorrectly (min > max) — undefined behavior"],"whenToPreferThis":"Choose this endpoint when you specifically need to validate that numeric columns in a payment-domain CSV (amounts, fees, IDs) contain proper numeric values and fall within expected bounds, before ingesting the data into a financial or accounting system. Prefer it over generic CSV validators when your use case is payment record imports and you need a payment-aware preset with category allowlist support.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:51.272Z","isFirstParty":false,"canonicalSlug":"payment-imports-numeric-type-check-f513fdcc"}