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Museum Footfall Numeric Row Ordering
x402
Museum Footfall Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Sorts up to 200 museum footfall records by a specified numeric field (visitors or dwell_minutes) and returns ordered rows with local descriptive analytics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Museum footfall - Numeric row ordering: Numeric row ordering 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 numeric row ordering report.
Output
A numerically ordered report of the supplied museum footfall rows, ranked by the chosen field (visitors or dwell_minutes), preserving all original fields (row_id, exhibit, date, visitors, dwell_minutes) in sorted sequence. Up to 200 rows returned with local descriptive ordering — no forecasting or external enrichment.
Example use cases
Rank exhibits by peak visitor traffic
“I have daily visitor counts for 6 exhibits across the past month — can you sort these museum footfall records by number of visitors so I can see which exhibits are drawing the biggest crowds?”
Order exhibit data by average dwell time
“Sort my museum footfall records by dwell_minutes so I can identify which exhibits are keeping visitors engaged the longest — I've got 50 rows covering our main gallery sections through September 2026.”
Identify lowest-traffic museum days
“I have 200 rows of daily footfall data for our museum through Q3 2026. Can you order them by visitor count so I can spot the lowest-traffic days and plan staffing adjustments accordingly?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-museum-footfall-sort?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw museum footfall records (up to 200 rows) and need a simple, local numeric sort by visitor count or dwell time without requiring forecasting, enrichment, or cross-dataset joins. Ideal for lightweight descriptive analytics on exhibit performance data within a single bounded dataset.
Side effects
- Missing required fields (row_id, exhibit, date, visitors, dwell_minutes) returns validation error
- Submitting more than 200 rows exceeds maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Specifying a sort field other than 'visitors' or 'dwell_minutes' fails enum validation
- Empty rows array (minItems:1 not met) returns error
- Payment failure or insufficient USDC balance prevents endpoint execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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