{"uid":"cap_Nrs51Lg0RhraZplOqsHRF","slug":"equipment-runtime-base-100-index-series-9dbcfa9d","name":"Equipment Runtime Base-100 Index Series","description":"Equipment runtime - Base-100 series: Base-100 series 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 base-100 series deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-equipment-runtime-index?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},"field":{"enum":["run_hours","downtime_hours"],"type":"string","default":"run_hours"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_Mey3AQACDFQHmF_OuHqgM","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":"Computes a base-100 indexed time series for equipment run_hours or downtime_hours across machines, normalizing values relative to a chosen baseline row.","exampleAgentPrompt":"Index my equipment runtime data to base-100 — I have up to 4 rows with machine groups 'group-a' and 'group-b', run_hours and downtime_hours from October 2026, and I want the index anchored to row index 0 using the run_hours field.","exampleUseCases":[{"title":"Manufacturing line runtime benchmarking","prompt":"I have daily run_hours data for two production lines across October — can you create a base-100 index series anchored to the first day so I can see how runtime performance has changed relative to that starting point?"},{"title":"Downtime trend normalization across machines","prompt":"Take this downtime_hours dataset for group-a and group-b machines across four dates and compute a base-100 index anchored to row index 2 so I can compare downtime trends relative to that mid-period reference."},{"title":"Equipment utilization comparison across groups","prompt":"I want to normalize run_hours for multiple machine groups into a base-100 index — I'll supply up to 10 rows with machine names, dates, run_hours, and downtime_hours, and I need the index anchored to the very first row."}],"resultDescription":"Returns a base-100 indexed numeric series derived from the selected field (run_hours or downtime_hours), where the chosen base_index row is set to 100 and all other rows are expressed as proportional values relative to that baseline. Includes local data-quality processing indicators. Up to 200 rows processed per call.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows supplied exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","base_index value pointing to a null or zero run_hours/downtime_hours row may cause division-by-zero or undefined index","Missing required fields (row_id, machine, date, run_hours, downtime_hours) cause request rejection","Non-numeric values in run_hours or downtime_hours fields cause type validation errors"],"whenToPreferThis":"Choose this endpoint when you need a quick, self-contained base-100 normalization of equipment runtime or downtime data without external enrichment or forecasting. It is ideal for standardizing machine operational metrics across time periods or machine groups into a comparable indexed format. Prefer it over raw aggregation services when the goal is relative trend comparison anchored to a specific reference row.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:03:55.241Z","isFirstParty":false,"canonicalSlug":"equipment-runtime-base-100-index-series-9dbcfa9d"}