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Energy Readings Category Frequencies
x402
Energy Readings Category Frequencies 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).
Counts how often each category appears across energy reading records (meter, date, etc.) for up to 200 rows of consumption data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Energy readings - Category frequencies: Category frequencies 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 category frequencies deliverable.
Output
A frequency table showing how often each distinct category value appears across the supplied energy reading records, covering fields such as meter ID and date. Returns bounded counts per unique category value with no external enrichment.
Example use cases
Meter activity frequency audit
“I have 150 energy readings from our building meters across the past quarter — can you count how many readings each meter ID has so I can see which meters are most active?”
Daily reading distribution check
“Here are 80 energy records from our smart grid — can you tell me how many times each date appears so I can spot any days with duplicate or missing readings?”
Group-level consumption record counts
“I've got energy data grouped by meter groups like group-a and group-b — count how many records fall into each group so I can compare data coverage between them.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-energy-readings-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local frequency count of categorical values in energy reading data (e.g. how many records per meter or per date) without needing external enrichment, forecasting, or ranking. Ideal for data quality checks, coverage audits, and exploratory summaries of up to 200 energy records at a very low cost ($0.01 per call).
Side effects
- Empty rows array returns validation error (minItems: 1)
- More than 200 rows submitted causes rejection (maxItems: 200)
- Missing required fields (row_id, meter, date, kwh, cost) causes schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern cause rejection
- row_id with zero length causes validation error (minLength: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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