{"uid":"cap_CEfZdG_oP_OyneMhUTYEn","slug":"machine-utilisation-imports-numeric-type-check-bc89fbb3","name":"Machine Utilisation Imports — Numeric Type Check","description":"Machine utilisation imports — Numeric type check: Numeric type check 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 numeric type check report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-machines-types?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_-_dqzcQ4KNef9JxlwroDr","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 numeric data types in a CSV of machine utilisation records (running hours, scheduled hours) against declared column contracts, up to 1000 rows.","exampleAgentPrompt":"Can you run a numeric type check on this machine utilisation CSV — it has columns for observation_id, observed_on, machine_id, running_hours, and scheduled_hours — and flag any rows where the numeric fields aren't valid numbers or fall outside the range -1000000000000 to 1000000000000?","exampleUseCases":[{"title":"Pre-import validation for machine logs","prompt":"Before I import this week's machine utilisation data, can you check the CSV for numeric type errors? The file has running_hours and scheduled_hours columns — I need to make sure every value is a proper number and nothing like 'N/A' or blank slipped in."},{"title":"Catch out-of-range hours in shift data","prompt":"I have a CSV of machine shift records where scheduled_hours should never exceed 24 — can you validate the numeric types and flag any rows where running_hours or scheduled_hours are outside 0 to 24?"},{"title":"Validate contractor-submitted utilisation file","prompt":"A contractor sent us a semicolon-delimited machine utilisation CSV — can you run a numeric type check on it to make sure all the hours columns are actual numbers and the allowed category values are only 'group-a' and 'group-b'?"}],"resultDescription":"Returns a numeric type check report identifying which rows and cells in the machine utilisation CSV fail numeric type constraints, including out-of-range values, non-numeric cell contents, and any cells exceeding the max cell length. The report covers up to 1000 rows with quoted-cell support.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows submitted — validation may be truncated or refused","Non-supported delimiter used — schema only allows comma, semicolon, or tab","Minimum value exceeds maximum value — invalid range configuration","Cell length exceeds max_cell_length setting — flagged or truncated","Malformed CSV with unmatched quotes — parser error returned","Empty CSV string — minimum length not met, request rejected"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) numeric type validation specifically for machine utilisation CSV imports with columns like running_hours and scheduled_hours. It is purpose-built for this domain with category allowlist support and range bounding — prefer it over generic CSV validators when the schema matches machine utilisation data with numeric hour fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:21.179Z","isFirstParty":false,"canonicalSlug":"machine-utilisation-imports-numeric-type-check-bc89fbb3"}