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Museum Footfall Equal-Width Histogram
x402
Museum Footfall Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes an equal-width histogram over museum visitor footfall or dwell-time data from up to 200 supplied records, returning a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Museum footfall - Equal-width histogram: Equal-width histogram 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 equal-width histogram report.
Output
A bounded equal-width histogram report covering the requested field (visitors or dwell_minutes) across the supplied records, including bin boundaries and the count of records falling into each equally-spaced interval — purely local descriptive analytics with no enrichment or forecasting.
Example use cases
Daily attendance distribution analysis
“I have 3 months of daily visitor counts for each exhibit in my museum — can you bin the visitors field into 8 equal-width histogram buckets and show me how attendance is distributed? Here are my records: row-1, Ancient Egypt, 2024-03-01, 210 visitors, 60 dwell minutes; row-2, Modern Art, 2024-03-01, 480 visitors, 25 dwell minutes; row-3, Natural History, 2024-03-01, 95 visitors, 80 dwell minutes.”
Dwell time spread for exhibit planning
“Can you generate a 5-bin equal-width histogram on the dwell_minutes field for these museum exhibit records so I can see how long visitors typically linger? Records: row-1, Dinosaurs, 2024-06-10, 300 visitors, 55 minutes; row-2, Space, 2024-06-11, 180 visitors, 120 minutes; row-3, Interactive Kids, 2024-06-12, 420 visitors, 20 minutes.”
Seasonal footfall pattern summary
“I want to understand our peak vs. off-peak visitor patterns — please compute a 6-bin equal-width histogram on the visitors field across these seasonal footfall records for my museum: row-1, Main Hall, 2024-07-15, 900 visitors, 40 dwell minutes; row-2, Main Hall, 2024-11-15, 150 visitors, 70 dwell minutes; row-3, Main Hall, 2024-04-15, 550 visitors, 55 dwell minutes; row-4, Main Hall, 2024-01-15, 80 visitors, 85 dwell minutes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-museum-footfall-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw museum footfall records (up to 200 rows) and need a quick, local equal-width frequency distribution over visitor counts or dwell times — no external data enrichment, forecasting, or machine learning required. It is ideal for descriptive analytics tasks like understanding attendance spread, identifying outlier days, or summarizing exhibit performance distributions at low cost ($0.01 per call).
Side effects
- More than 200 rows supplied — request rejected due to maxItems constraint
- Invalid date format not matching YYYY-MM-DD pattern causes validation error
- bins value outside 1–30 range returns a schema validation error
- All null values in the selected field may yield an empty or degenerate histogram
- Missing required fields (row_id, exhibit, date, visitors, dwell_minutes) cause row-level validation failures
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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