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Equipment Runtime Base-100 Index Series
x402
Equipment Runtime Base-100 Index Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes a base-100 indexed time series for equipment run_hours or downtime_hours across machines, normalizing values relative to a chosen baseline row.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Manufacturing line runtime benchmarking
“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?”
Downtime trend normalization across machines
“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.”
Equipment utilization comparison across groups
“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.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-equipment-runtime-index?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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