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Energy Readings Secondary-Measure Weighted Mean
x402
Energy Readings Secondary-Measure Weighted Mean 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 secondary-measure weighted mean (e.g. cost-weighted kWh or kWh-weighted cost) across up to 200 energy meter readings, returning a single weighted average value.
Price / call$0.01
Success—
StatusUnknown
How this service works
Energy readings - Secondary-measure weighted mean: Secondary-measure weighted mean for Energy readings. 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 secondary-measure weighted mean deliverable.
Output
A single weighted mean value computed from the submitted energy readings, where one numeric field (kWh or cost) is averaged using the other as weights — returned as a bounded numeric deliverable with local data-quality processing applied.
Example use cases
Cost-weighted average consumption across meters
“I have daily kWh and cost records for two meter groups across October — can you compute the cost-weighted mean kWh so I can see which days drove the most consumption relative to spend?”
kWh-weighted average cost per unit
“Using my energy meter data for the past month, calculate the kWh-weighted mean of the cost field so I can see the true average price per unit weighted by how much electricity was actually used.”
Multi-meter energy analytics rollup
“I've got 150 rows of energy readings across several meters with dates, kWh, and cost columns — compute the secondary-measure weighted average for the kWh field so I can roll it up into a single representative figure.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-energy-readings-weighted-average?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistically correct secondary-measure weighted mean for energy meter data — specifically when averaging one energy metric (kWh or cost) weighted by the other, across up to 200 typed records, with local numeric and data-quality processing and no external dependencies. Prefer it over simple arithmetic averages when the weight of each reading matters, and over general analytics APIs when working specifically with date-keyed, meter-grouped energy consumption records.
Side effects
- Missing required fields (row_id, meter, date, kwh, cost) causes validation error
- Exceeding 200 row limit returns rejection
- Invalid date format (not YYYY-MM-DD) causes schema error
- Null values in both the value and weight fields may produce undefined or null result
- Invalid field enum value (not 'kwh' or 'cost') causes validation failure
- Payment not included or insufficient USDC causes x402 payment-required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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