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Energy Readings Two-Measure Correlation
x402
Energy Readings Two-Measure Correlation 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 the statistical correlation between kWh consumption and cost across up to 200 dated energy meter readings
Price / call$0.01
Success—
StatusUnknown
How this service works
Energy readings - Two-measure correlation: Two-measure correlation 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 two-measure correlation deliverable.
Output
Returns a bounded two-measure correlation deliverable quantifying the statistical relationship between kWh and cost values across the supplied energy meter records, including local numeric processing and data-quality indicators. No external enrichment or forecasting is applied.
Example use cases
Validate utility billing proportionality
“I have 50 energy readings across three meters from October — can you check whether kWh usage and billed cost are statistically correlated so I can tell if my billing is proportional to consumption?”
Energy efficiency audit across sites
“We monitor 6 different meters across our facilities. Can you compute the correlation between kWh drawn and cost incurred for these 120 rows of readings to see how tightly our spend tracks actual energy use?”
Detect pricing anomalies in meter data
“Run a two-measure correlation on these 80 dated meter readings covering kWh and cost — I want to see if there's a strong or weak statistical relationship, which might flag meters where pricing looks off.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-energy-readings-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured energy meter records with both kWh and cost fields and need a fast, bounded statistical correlation between those two numeric measures. It is ideal for up to 200 rows of local numeric computation with no external dependencies. Prefer it over general-purpose stats APIs when you already have the data formatted with row_id, meter, date, kwh, and cost fields and want a single correlation deliverable at low cost ($0.01 USDC per call).
Side effects
- Empty rows array or missing required fields (row_id, meter, date, kwh, cost) causes validation error
- Exceeding 200 rows returns a schema violation error
- Invalid date format (not YYYY-MM-DD) triggers pattern mismatch
- Numeric values outside ±1,000,000,000,000 bounds cause rejection
- Insufficient non-null numeric pairs may yield undefined or degenerate correlation result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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