{"uid":"cap_1gM3TPGcez3WKxLCRpQMC","slug":"machine-utilisation-imports-invalid-row-export-48e085cf","name":"Machine Utilisation Imports — Invalid Row Export","description":"Machine utilisation imports — Invalid row export: Invalid row export for Machine utilisation 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-machines-invalid-rows?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"observation_id,observed_on,machine_id,running_hours,scheduled_hours\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_7cv30ksuF2qUstiUWXfl3","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 machine utilisation CSV file and exports a report of invalid rows based on configurable constraints.","exampleAgentPrompt":"Check my machine utilisation CSV for invalid rows — the file tracks observation_id, observed_on, machine_id, running_hours, and scheduled_hours, with comma as the delimiter, allowed categories are group-a and group-b, and values should stay between 0 and 10000. Give me an export of every row that fails.","exampleUseCases":[{"title":"Pre-import data quality gate","prompt":"Before I load this machine utilisation CSV into our database, run it through the invalid row checker — comma-delimited, allowed machine categories are line-1, line-2, and line-3, running_hours must be between 0 and 24, and flag anything that doesn't match."},{"title":"Manufacturing shift report validation","prompt":"I've got a CSV of machine running hours and scheduled hours from last week's shifts — can you validate it and export all the bad rows? Categories allowed are press-a and press-b, delimiter is semicolon, and values should be between 0 and 168."},{"title":"Automated ETL pipeline row rejection","prompt":"As part of our nightly ETL, validate this machine utilisation import CSV with comma delimiter and export any rows that have disallowed category IDs or values outside the range -1000 to 1000000 — keep max cell length at 500 characters."}],"resultDescription":"A report identifying all invalid rows in the submitted machine utilisation CSV, including which rows failed and why (e.g. out-of-range numeric values, disallowed category strings, malformed cells). Up to 1000 rows processed per call.","failureModes":["CSV exceeds 100,000 character limit — rejected with size error","Delimiter mismatch causes all rows to parse incorrectly — returns most or all rows as invalid","Allowed categories list is empty or misconfigured — all category values flagged","Minimum value greater than maximum value — configuration error","CSV is malformed beyond quoted-cell support — parse failure","Cell content exceeds max_cell_length — row flagged or rejected"],"whenToPreferThis":"Choose this endpoint when you need to validate a machine utilisation CSV (with fields like observation_id, machine_id, running_hours, scheduled_hours) against a declared schema contract before importing — particularly when you need to identify and export the specific invalid rows rather than just a pass/fail result. Best for pre-import quality gates, ETL pipelines, or audit workflows in manufacturing or industrial contexts. Not suitable for general-purpose CSV validation or non-machine-utilisation data shapes.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:58.543Z","isFirstParty":false,"canonicalSlug":"machine-utilisation-imports-invalid-row-export-48e085cf"}