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Energy Readings String Normalisation
x402
Energy Readings String Normalisation 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).
Normalises string fields (meter identifiers, dates) in energy meter reading records, returning cleaned and standardised data for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Energy readings - String normalisation: String normalisation 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 string normalisation deliverable.
Output
Returns up to 200 energy reading records with normalised string fields (meter identifiers, dates), processed locally with data-quality corrections applied. No external enrichment or forecasting is included — the output is a cleaned version of the supplied input records.
Example use cases
Pre-load meter data cleanup
“I've got a batch of 50 energy reading rows from our building meters — meter names are inconsistent and some dates look malformed. Can you normalise all the string fields so the data is clean before we load it into our analytics system?”
Multi-site utility data standardisation
“We have energy readings from 3 different sites with meter identifiers that were entered by hand — can you normalise the meter name strings across all 120 records so they're consistent for our monthly report?”
Data quality pass on kWh export
“I exported energy usage data from our BMS and the meter labels and dates are a mess. Please run string normalisation on these 80 rows — row IDs are included — and give me back clean, standardised records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-energy-readings-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local string normalisation for energy meter reading records specifically — particularly when you have up to 200 rows with meter identifier strings and date fields that need cleaning before downstream processing, and you do not need external enrichment, forecasting, or cross-domain data transformation.
Side effects
- Missing required fields (row_id, meter, date, kwh, cost) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows in a single request returns an error
- Empty rows array or missing rows property causes request failure
- Numeric values outside the ±1,000,000,000,000 bounds are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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