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Tourism Observations — String Normalisation + Duplicate Key Report
x402
Tourism Observations — 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 2026-10-29).
Analyzes up to 200 tourism observation rows (visitor_count, overnight_stays) producing two local reports: string normalisation and duplicate key detection.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tourism observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied tourism observations records (visitor_count, overnight_stays). 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 for the submitted tourism rows: (1) a string normalisation report identifying and correcting inconsistent or malformed string values in fields like region and date, and (2) a duplicate key report flagging any rows that share the same key identifiers (e.g. row_id), all processed locally without external lookups.
Example use cases
Pre-load tourism data quality check
“I'm about to import 120 rows of regional tourism data into our dashboard — can you normalize the region strings and flag any duplicate row IDs before I load it? Each row has a row_id, region, date, visitor_count, and overnight_stays.”
Monthly visitor dataset deduplication
“We just received our monthly tourism report with 80 observations across different regions and dates. Can you check it for duplicate keys and normalise the string fields so everything is consistent?”
Audit overnight stays dataset for ETL pipeline
“Before we push this batch of 150 tourism records into the ETL pipeline, can you run a duplicate key report and string normalisation on them? The rows have region names, dates, visitor counts, and overnight stay figures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-14-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific data quality operations — string normalisation and duplicate key detection — on tourism observation data (visitor_count, overnight_stays) in a single affordable call. Prefer it over general-purpose data cleaning tools when your dataset is bounded (≤200 rows), you want local analytical processing with no external data lookups, and cost predictability at $0.01 per call matters.
Side effects
- Payload exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, region, date, visitor_count, overnight_stays) cause row-level validation errors
- Malformed date strings not matching YYYY-MM-DD pattern may be flagged or rejected
- Numeric values outside the allowed range (-1e12 to 1e12) may cause schema validation failures
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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