{"uid":"cap_byH8_xL-X0zx_Stn4dkCY","slug":"evaluation-run-imports-invalid-row-export-555bc805","name":"Evaluation Run Imports — Invalid Row Export","description":"Evaluation run imports — Invalid row export: Invalid row export for Evaluation run 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 invalid row export report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-evaluations-invalid-rows?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"evaluation_id,evaluated_on,dataset_id,correct_count,example_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_6gkgRJ24sTJreoH_UQj8n","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 of evaluation run import data and returns a report of all rows that fail the declared contract, up to 1000 rows.","exampleAgentPrompt":"Can you validate this evaluation run import CSV for me — check it using a comma delimiter, flag any rows where numeric values fall outside -1000000000000 to 1000000000000, and only allow 'group-a' and 'group-b' as dataset categories, then give me a report of every invalid row?\n\nevaluation_id,evaluated_on,dataset_id,correct_count,example_count\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3","exampleUseCases":[{"title":"Catching bad rows before ETL pipeline","prompt":"I have an evaluation run import CSV I need to check before loading it into our pipeline — can you validate it with a comma delimiter, flag any rows with numeric values outside -500 to 500, and only accept 'group-a', 'group-b', and 'group-c' as allowed dataset categories? Give me back just the invalid rows."},{"title":"QA check on ML benchmark uploads","prompt":"Before I submit this ML benchmark results CSV, can you scan it for invalid rows? Use a semicolon delimiter, cap cell length at 200, and only allow 'test-set-1' and 'test-set-2' as categories — then show me which rows violate those rules."},{"title":"Automated evaluation data audit","prompt":"I'm running a nightly audit on evaluation import files — can you take this CSV, validate it with tab-separated columns, allow categories 'alpha' and 'beta' only, and export a report of every row that doesn't meet those constraints?"}],"resultDescription":"Returns a structured report listing every row in the submitted CSV that violates the declared contract — including rows with out-of-range numeric values, disallowed category values, malformed cells, or cells exceeding the maximum cell length. Up to 1000 rows are evaluated per call.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV contains fewer than 1 or is empty — validation error","Delimiter not one of comma, semicolon, or tab — schema rejection","More than 100 allowed_categories specified — input rejected","Numeric bounds (minimum/maximum) out of allowed range — schema error","Payment not completed via x402 protocol — 402 response, no report returned"],"whenToPreferThis":"Choose this endpoint when you need to validate a CSV of evaluation run import data against a declared contract and receive back only the rows that fail — ideal for pre-load QA, nightly audits, or automated data pipeline checks where you need actionable row-level error detail rather than a simple pass/fail. It is purpose-built for the evaluation run import schema (evaluation_id, evaluated_on, dataset_id, correct_count, example_count) and supports quoted cells, configurable delimiters, numeric range bounds, and allowed category whitelisting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:16:42.130Z","isFirstParty":false,"canonicalSlug":"evaluation-run-imports-invalid-row-export-555bc805"}