{"uid":"cap_UQAhaTlRQS-l1_iF5eyNi","slug":"equipment-runtime-daily-sum-series-e82c877d","name":"Equipment Runtime Daily Sum Series","description":"Equipment runtime - Daily sum series: Daily sum 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 daily sum series deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-equipment-runtime-date-series?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"}}},"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_HBWPvXoSlt9RTpeWCpOnk","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 daily sum series for equipment run_hours or downtime_hours across up to 200 machine-date records, returning aggregated totals per day.","exampleAgentPrompt":"Sum up the run_hours by day for these machine records — I have 4 rows: machine group-a ran 10 hours on 2026-10-01 and 15 hours on 2026-10-03, machine group-b ran 20 hours on 2026-10-02 and 30 hours on 2026-10-04.","exampleUseCases":[{"title":"Daily fleet runtime summary report","prompt":"I have a week of runtime logs for our factory machines — can you sum up the run_hours for each day across all machines? Here are 10 rows with machine names, dates, run_hours, and downtime_hours."},{"title":"Downtime aggregation for maintenance review","prompt":"Sum up the downtime_hours by day for these 50 equipment records across our production line — I need daily totals for the month of October 2026 to share with the maintenance team."},{"title":"Equipment utilization daily trend","prompt":"Can you compute a daily sum series for run_hours from these 200 machine logs for group-a and group-b equipment, covering dates from 2026-10-01 through 2026-10-31?"}],"resultDescription":"Returns a daily sum series array where each entry represents the aggregated total of the selected field (run_hours or downtime_hours) for all machines on that date, along with data-quality indicators derived from local numeric processing of the supplied records.","failureModes":["Input array exceeds 200 items — request rejected","Missing required fields (row_id, machine, date, run_hours, or downtime_hours) — validation error","Date format does not match YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (must be run_hours or downtime_hours) — rejected","Null numeric values in run_hours or downtime_hours may affect sum accuracy","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need to aggregate equipment runtime or downtime hours into a daily sum time series from structured tabular records with up to 200 rows. It is purpose-built for local numeric aggregation without external enrichment, making it ideal for deterministic, reproducible daily totals from machine logs. Prefer this over general-purpose analytics when you specifically need a bounded daily sum series output for equipment operational data at low cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:17:45.946Z","isFirstParty":false,"canonicalSlug":"equipment-runtime-daily-sum-series-e82c877d"}