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Sampling Observations — Equal-Width Histogram + Secondary-Measure Weighted Mean
x402
Sampling Observations — Equal-Width Histogram + Secondary-Measure Weighted Mean 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 an equal-width histogram and a secondary-measure weighted mean over up to 200 supplied sampling observation records (sample_value, sample_weight).
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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) an equal-width histogram breaking the selected field (sample_value or sample_weight) into up to 30 bins with bin boundaries and counts, and (2) a secondary-measure weighted mean computed from the sample_value and sample_weight columns across the supplied rows. Both reports are computed locally with no external lookups.
Example use cases
Survey response distribution analysis
“I have 120 survey response scores with weights reflecting respondent importance — can you bucket the sample_value field into 8 equal-width histogram bins and compute the weighted mean of those scores using the sample_weight column?”
Lab measurement quality check
“Here are 80 lab measurement records with dates and group labels — please run a histogram with 5 bins on the sample_value field and give me the secondary-measure weighted mean so I can see how measurements are distributed across the range.”
Sales sample data summarization
“I've got 200 daily sales sample rows tagged by region and date — run an equal-width histogram with 15 bins on sample_value and compute the weighted mean using sample_weight, so I can understand the distribution and central tendency.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary statistical summaries — a frequency distribution (histogram) and a weighted average — computed together over a single batch of up to 200 sampling observations. It is ideal for offline or already-collected datasets where no live data fetch, prediction, or external enrichment is needed. Prefer this over separate analytics calls when you want both reports for a flat $0.01 USDC fee.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) in any row
- Bins parameter outside 1–30 range
- All sample_weight values are null or zero — weighted mean undefined
- Malformed date strings not matching YYYY-MM-DD pattern
- sample_value or sample_weight values outside ±1,000,000,000,000 range
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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