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Energy Readings Base-100 Index Series
x402
Energy Readings 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 2026-10-18).
Computes a base-100 indexed series from up to 200 energy meter records (kWh or cost), normalizing all values relative to a chosen base row.
Price / call$0.01
Success—
StatusUnknown
How this service works
Energy readings - Base-100 series: Base-100 series 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 base-100 series deliverable.
Output
Returns a base-100 indexed series for each supplied energy record, where the value at the chosen base_index row is set to 100 and all other values are scaled proportionally. Includes local data-quality processing flags per record. No external enrichment or forecasting is applied.
Example use cases
Monthly consumption trend indexing
“I have daily kWh readings for two meters across October — can you index them all to a base of 100 starting from the first reading so I can compare how usage grew relative to day one?”
Cost benchmarking across meter groups
“I've got cost records for meters A and B over the past week; please create a base-100 cost index using the cost field with row 0 as the baseline so I can see how spending evolved relative to the start.”
Energy audit baseline normalization
“I'm running an energy audit and need to normalize 50 meter readings to a common base-100 index using the kWh field — the baseline should be row index 10 which represents our pre-retrofit reference point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-energy-readings-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a local, deterministic base-100 normalization of energy meter records (kWh or cost) without any external API calls, forecasting, or enrichment. It is ideal for benchmarking consumption or cost trends relative to a specific reference row across up to 200 records. Prefer it over general analytics services when you want a lightweight, bounded, reproducible index computation at low cost ($0.01 USDC per call).
Side effects
- Input array is empty or exceeds 200 rows — validation error
- base_index references a row position outside the supplied array bounds
- Base row value is zero or null, making division undefined — arithmetic error or null result
- Date strings do not match YYYY-MM-DD pattern — schema validation failure
- kWh or cost values exceed allowed numeric bounds — rejected input
- field enum value is not 'kwh' or 'cost' — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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