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Water Service Coverage — String Normalisation + Duplicate Key Report
x402
Water Service Coverage — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs string normalisation and duplicate key detection on water service coverage records (served_households, total_households) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water service coverage — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied water service coverage records (served_households, total_households). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a string normalisation report identifying inconsistencies or non-standard formatting in text fields such as region names, and (2) a duplicate key report flagging rows with repeated row_id, region, or date combinations — all derived locally from the supplied data with no external lookups.
Example use cases
Pre-analysis data cleaning for coverage dataset
“I've got a batch of water service coverage records — around 150 rows with region names, dates, and household counts — and before I start any analysis I need to normalise the strings and flag any duplicate row IDs. Can you run both reports?”
Utility reporting data validation
“We're preparing a quarterly water utility report and our coverage dataset has messy region strings and possibly repeated row keys. Can you audit the served_households and total_households records for string normalisation issues and duplicate keys across all our rows?”
ETL pipeline data quality gate
“Before we load our water service coverage data into the warehouse, I want to catch duplicate row_ids and any non-standard region strings. We have about 80 rows with date, region, served_households, and total_households — can you run the duplicate key and string normalisation checks?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-19-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and duplicate key detection in a single call for water service coverage data with served_households and total_households fields. It is ideal for pre-analysis data cleaning, ETL quality gates, or utility reporting pipelines where you want two bundled reports at minimal cost ($0.01 USDC) without any external lookups or predictions. Prefer alternatives if you need other report types (e.g. numeric summaries, histograms) or if your dataset exceeds 200 rows.
Side effects
- Exceeding 200 rows causes rejection — trim input to at most 200 records
- Missing required fields (row_id, region, date, served_households, total_households) on any row causes validation error
- Invalid date format (must match YYYY-MM-DD) causes schema rejection
- row_id values exceeding 80 characters are rejected
- Payment of 0.01 USDC not supplied or rejected causes 402 response
- Empty rows array (minItems: 1 violated) causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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