{"uid":"cap_UDqMj7x_a0AU28jbskgLv","slug":"equipment-runtime-record-quality-audit-a3d78f3f","name":"Equipment Runtime Record Quality Audit","description":"Equipment runtime - Record quality audit: Record quality audit for Equipment runtime. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded record quality audit deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-equipment-runtime-quality?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","machine","date","run_hours","downtime_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"machine":{"type":"string","default":"","maxLength":80},"run_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"downtime_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","machine":"group-a","run_hours":10,"downtime_hours":1},{"date":"2026-10-02","row_id":"row-2","machine":"group-b","run_hours":20,"downtime_hours":2},{"date":"2026-10-03","row_id":"row-3","machine":"group-a","run_hours":15,"downtime_hours":3},{"date":"2026-10-04","row_id":"row-4","machine":"group-b","run_hours":30,"downtime_hours":4}],"maxItems":200,"minItems":1}}},"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_PoPSB0kCIttDBdbtOlUai","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":"Audits up to 200 equipment runtime records for numeric and data-quality issues, returning a bounded quality audit deliverable per batch.","exampleAgentPrompt":"Can you run a quality audit on these equipment runtime records — I have 4 machines (group-a and group-b) with dates, run hours, and downtime hours logged from October 1–4, and I want to check them for data quality issues before I use them in my analysis?","exampleUseCases":[{"title":"Pre-analysis data validation for factory floor","prompt":"I have 150 equipment runtime records from our CNC machines across the last quarter — each row has a machine ID, date, run hours, and downtime hours. Can you audit them for data quality issues like missing values or suspicious numbers before I run my utilization report?"},{"title":"Automated QA gate for IoT sensor pipeline","prompt":"Before we load today's batch of 80 sensor runtime records into our data warehouse, can you run a quality audit on them? Each record has a machine name, date, run_hours, and downtime_hours — flag anything that looks off."},{"title":"Spot-check maintenance log data integrity","prompt":"We just received a CSV of machine runtime logs from our maintenance team — about 50 rows with machine names, dates, run hours, and downtime hours. Can you audit these records and tell me if there are any data quality problems I should fix?"}],"resultDescription":"A bounded quality audit deliverable covering up to 200 supplied equipment runtime records, including numeric validation results and data-quality flags for fields such as run_hours and downtime_hours, with per-record audit findings identifying issues like missing values, out-of-range numbers, or format errors.","failureModes":["Batch exceeds 200 records — request will be rejected, split into smaller batches","Missing required fields (row_id, machine, date, run_hours, or downtime_hours) — validation error returned","Malformed date format (not YYYY-MM-DD) — schema validation failure","Empty rows array — minItems constraint violation","Numeric values outside accepted range — may be flagged or rejected"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost ($0.01) local data-quality check on equipment runtime records specifically (machine ID, run hours, downtime hours, date) before downstream analytics or loading into a data warehouse. It is ideal for batch validation of up to 200 records without needing external enrichment or forecasting. Prefer it over general-purpose validation tools when your data is structured around industrial/equipment runtime schemas.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:08:09.273Z","isFirstParty":false,"canonicalSlug":"equipment-runtime-record-quality-audit-a3d78f3f"}