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Water Monitoring String Normalisation
x402
Water Monitoring 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 2026-10-14).
Normalises site names, dates, and other string fields in water monitoring records (up to 200 rows) for local data-quality processing.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water monitoring - String normalisation: String normalisation for Water monitoring. 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
A normalised set of up to 200 water monitoring records with cleaned and standardised string fields (site names, dates), along with any data-quality indicators derived from local processing. No external enrichment is applied.
Example use cases
Cleaning messy site name labels
“I've got 50 water monitoring records where the site names are inconsistent — things like 'Site A', 'site-a', 'SITE A' all mixed together. Can you run string normalisation on them so they're all in a consistent format? Each row has a row_id, site, date, litres, and cost.”
Standardising dates before pipeline ingestion
“Before I push these 120 water usage records into our data pipeline, can you normalise the string and date fields? The dates need to be in YYYY-MM-DD format and the site names need to be cleaned up — I have row IDs, sites, litres, and costs for each row.”
Data quality pass on multi-site water data
“We collected water monitoring data from 3 sites over the past month — about 180 rows total — and the string fields are a mess with mixed casing and formatting. Can you run a normalisation pass on them so all the site names and dates are consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-water-monitoring-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have water monitoring tabular data (up to 200 rows) that needs local string normalisation and data-quality cleanup without any external enrichment, forecasting, or third-party lookups. It is best suited for pre-processing pipelines where consistent site names and date formats are required before downstream analysis.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, site, date, litres, cost) causes record rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside ±1,000,000,000,000 bounds are rejected
- Empty row arrays return a bad-request error
- Payment failure (x402) blocks the request entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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