{"uid":"cap_ZXfzrScH7MBWQhetBbDxe","slug":"refund-imports-declared-column-projection-43e8fbdd","name":"Refund Imports Declared Column Projection","description":"Refund imports — Declared column projection: Declared column projection for Refund 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 declared column projection report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-refunds-projection?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"refund_id,refunded_on,order_id,refund_amount,refunded_units\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_-gIHkYK42lpszfx--KPkX","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 CSV file of refund import data against a declared column contract, reporting structure and value conformance for up to 1000 rows.","exampleAgentPrompt":"Can you validate this refunds CSV for me — it has columns refund_id, refunded_on, order_id, refund_amount, and refunded_units — and check that refund_amount is between 0 and 5000, and that order_id only contains 'group-a' or 'group-b' as categories?","exampleUseCases":[{"title":"Pre-import refund file validation","prompt":"Before I upload this refund CSV to our accounting system, can you check it against the declared schema — columns are refund_id, refunded_on, order_id, refund_amount, refunded_units — and make sure refund_amount stays between 0 and 10000 and order_id only has values from group-a, group-b, or group-c?"},{"title":"QA check on monthly refund export","prompt":"I've got a monthly refund export as a CSV with semicolon delimiters. Can you run a column projection validation on it to confirm all the declared columns are present and refund_amount values are between -500 and 500000?"},{"title":"Automated refund data contract enforcement","prompt":"Every time our refund processor outputs a CSV, I need you to validate it against our declared contract — columns refund_id, refunded_on, order_id, refund_amount, refunded_units — allowing only 'tier-1' and 'tier-2' as categories and capping refund_amount at 99999. Flag any rows that break the contract."}],"resultDescription":"A declared column projection report for the submitted refund CSV, indicating whether the data conforms to the declared column contract, including validation of value ranges (minimum/maximum), allowed category values, cell length constraints, and overall structural conformance across up to 1000 rows.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows submitted — rows beyond limit may be ignored or rejected","Invalid delimiter specified — must be comma, semicolon, or tab","Cell content exceeds max_cell_length — validation error reported","Malformed CSV (unclosed quotes, mismatched columns) — parse error returned","Numeric values outside the specified minimum/maximum bounds — flagged in report"],"whenToPreferThis":"Choose this endpoint when you need to validate a refund-specific CSV file against a declared column contract before importing it into a downstream system. It is purpose-built for refund data with columns like refund_id, refunded_on, order_id, refund_amount, and refunded_units, and supports category allowlists and numeric range constraints. Prefer it over generic CSV validators when you need a structured projection report tailored to refund import schemas.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:01.770Z","isFirstParty":false,"canonicalSlug":"refund-imports-declared-column-projection-43e8fbdd"}