{"uid":"cap_RiCsQkw57ZYW5HKiPMQ-a","slug":"machine-utilisation-imports-valid-row-export-35dd1539","name":"Machine Utilisation Imports — Valid Row Export","description":"Machine utilisation imports — Valid row export: Valid 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 valid row export report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-machines-valid-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_DnOeH4Q7R9Z2Gdc1ZjhSY","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 machine utilisation records (observation ID, dates, machine IDs, running/scheduled hours) and exports only the rows that pass all declared contract rules, up to 1000 rows.","exampleAgentPrompt":"Check my machine utilisation CSV for valid rows — it uses comma delimiters, allowed categories are group-a and group-b, and I need cells capped at 1000 characters. Here's the data: 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","exampleUseCases":[{"title":"Pre-import data quality check","prompt":"Before I load this week's machine utilisation file into our system, can you validate the CSV and give me only the rows that pass — allowed machine categories are group-a, group-b, and group-c, delimiter is comma, and flag anything with a cell over 500 characters?"},{"title":"Scheduled hours compliance audit","prompt":"I have a CSV of running hours and scheduled hours for our factory machines. Can you check it against our rules — values must be between 0 and 10000, allowed categories are line-1 and line-2 — and tell me which rows are fully valid?"},{"title":"Data pipeline validation gate","prompt":"Our ETL pipeline drops bad rows, but I want a report first — run this semicolon-delimited machine utilisation CSV through validation with allowed categories machine-alpha and machine-beta, min 0, max 500000, and export just the clean rows."}],"resultDescription":"A report listing which rows from the submitted CSV are valid according to the declared contract rules — including numeric range checks, allowed category membership, cell length limits, and CSV structural integrity — for up to 1000 rows.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows submitted — only first 1000 processed or error returned","Invalid delimiter specified — must be comma, semicolon, or tab","Cell value exceeds max_cell_length — row flagged or rejected","Numeric values outside minimum/maximum bounds — row marked invalid","Category values not in allowed_categories list — row marked invalid","Malformed CSV (unclosed quotes, mismatched columns) — parse error returned","Payment not provided or insufficient — x402 payment required response"],"whenToPreferThis":"Use this endpoint when you need to validate a CSV of machine utilisation records (with fields like observation_id, observed_on, machine_id, running_hours, scheduled_hours) against a declared contract before importing or processing the data. It is purpose-built for this schema with preset validation logic, supports quoted cells, and returns a per-row validity report for up to 1000 rows at a low fixed cost. Prefer this over generic CSV validators when your data specifically concerns machine utilisation metrics and you need category allowlist enforcement alongside numeric range validation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:08:57.324Z","isFirstParty":false,"canonicalSlug":"machine-utilisation-imports-valid-row-export-35dd1539"}