Sampling Observations — String Normalisation + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Performs string normalisation and category frequency analysis on up to 200 sampling observation records (sample_value, sample_weight) in a single call.
Sampling observations — String normalisation + Category frequencies: String normalisation + Category frequencies 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.
Two analytical reports for the supplied rows: (1) a string normalisation report standardising the categorical/text fields across the dataset, and (2) a category frequency report showing how often each distinct dataset_group value appears, potentially weighted by sample_weight. No external lookups or live data are used — analysis is performed locally on the submitted rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-024?utm_source=zero.xyzChoose this endpoint when you need both string normalisation of categorical labels and a frequency count of those categories from sampling observation data in a single low-cost API call. It is ideal for cleaning and auditing survey, lab, or market sample datasets with up to 200 rows, where no external data lookup or prediction is needed — just local analytical computation on the data you supply.
| Field | Type | Description |
|---|---|---|
| rows | array |
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