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Museum Footfall Duplicate Key Report
x402
Museum Footfall 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 2026-10-15).
Identifies duplicate row_id keys in museum footfall records (exhibit visits, visitor counts, dwell times) and returns a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Museum footfall - Duplicate key report: Duplicate key report for Museum footfall. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded duplicate key report report.
Output
A duplicate key report identifying which row_id values appear more than once across the submitted museum footfall records, along with details on the conflicting entries. No forecasting or enrichment is performed — output is local descriptive analytics based solely on the submitted data.
Example use cases
Pre-import data integrity check
“Before I load this week's museum attendance data into our database, can you scan these footfall rows for any duplicate row_ids? I have entries for exhibits like 'Ancient Egypt' and 'Modern Art' across dates in October 2026 and need to make sure no row_id is repeated.”
Exhibit data deduplication audit
“I've collected visitor counts and dwell times across our museum exhibits and I suspect some records got entered twice. Can you run a duplicate key report on these footfall records so I know exactly which row_ids are duplicated before I proceed?”
Data pipeline validation step
“As part of our nightly museum footfall pipeline, check these batched records for duplicate row_ids and give me a report — we have up to 200 rows covering visitor counts and average dwell minutes per exhibit per day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-museum-footfall-key-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly validate a batch of up to 200 museum footfall records for duplicate row_id keys before ingestion, storage, or analysis. It is ideal for data pipeline integrity checks, pre-import audits, and data cleaning workflows specific to museum visitor and exhibit data. Not suitable if you need forecasting, enrichment, trend analysis, or duplicate detection across a different domain.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds maxItems limit
- row_id field missing or empty string violates minLength constraint
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Non-numeric values in visitors or dwell_minutes fields cause type errors
- No duplicates found returns an empty or confirmation report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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