Sampling Observations — Category Frequencies + 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 2026-10-15).
Computes category frequency counts and an equal-width histogram for up to 200 sampling observation records (sample_value, sample_weight).
Sampling observations — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram for supplied sampling observations records (sample_value, sample_weight). 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.
Returns two independent analytical reports: (1) category frequency counts showing how many records fall in each dataset_group category, and (2) an equal-width histogram partitioning the chosen numeric field (sample_value or sample_weight) into the specified number of bins, with counts per bin — all computed locally on the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-106?utm_source=zero.xyzChoose this endpoint when you need two quick statistical summaries — category frequencies and a histogram — computed purely on supplied data without any external data access, predictions, or professional assessments. It is ideal for small-to-medium datasets (up to 200 rows) where you want both group-level counts and a numeric distribution in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics services when you want a simple, reproducible, serverless statistical computation on sampling observation data with weighted records.
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
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