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Sampling Observations — String Normalisation + Equal-Width Histogram
x402
Sampling Observations — String Normalisation + 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).
Runs two local analytical reports on supplied sampling observations: string normalisation and an equal-width histogram, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — String normalisation + Equal-width histogram: String normalisation + 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.
Output
Returns two analytical reports: (1) a string normalisation report for the supplied row data, and (2) an equal-width histogram report showing bin ranges, counts, and weighted frequencies for the chosen field (sample_value or sample_weight), computed entirely from the supplied data with no external lookups.
Example use cases
Survey response distribution analysis
“I have 150 survey responses with numeric scores and weights — can you normalize the response strings and build an equal-width histogram with 10 bins on the sample_value field so I can see how scores are distributed?”
Lab measurement binning
“Here are 80 lab measurements with sample IDs, dates, measured values, and sample weights across two groups — please run string normalisation and a 5-bin equal-width histogram on the sample_value field.”
Quality control sampling report
“I need to analyze 200 quality control samples from my production line — each has a row ID, group, date, measurement value, and weight. Can you generate the string normalisation report and a 15-bin histogram on the sample_weight field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-031?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 sampling observation records and need both string normalisation and an equal-width histogram in a single paid call. It is self-contained with no external data dependencies, making it suitable for sensitive or offline datasets. Prefer it over general-purpose analytics tools when you need a lightweight, low-cost ($0.01 USDC) dual-report output on weighted sample data.
Side effects
- More than 200 rows submitted — request rejected, reduce row count
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) on any row — validation error
- bins value outside 1–30 range — schema validation failure
- sample_value or sample_weight outside ±1,000,000,000,000 — value rejected
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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