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Sampling Observations — Trailing Mean Series + Equal-Width Histogram
x402
Sampling Observations — Trailing Mean Series + 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 2026-10-19).
Computes a trailing mean time series and an equal-width histogram for up to 200 supplied sampling observation records (sample_value, sample_weight).
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Trailing mean series + Equal-width histogram: Trailing mean series + 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 independent analytical reports for the supplied observation rows: (1) a trailing mean series showing the rolling average of the selected field over the specified window, and (2) an equal-width histogram with the specified number of bins summarizing the distribution of values. Both reports operate solely on the supplied data with no external lookups.
Example use cases
Quality control sampling trend analysis
“I have 120 quality control measurements collected daily over the past few months, each with a sample_value and a sample_weight. Can you compute a trailing mean series using a window of 5 and a histogram with 8 bins on the sample_value field so I can spot trends and outliers?”
Survey response distribution summary
“I've got 80 survey response records with numerical scores as sample_value and respondent weights as sample_weight. Run a trailing mean with a window of 3 and a 6-bin histogram on sample_value so I can see both the trend and how scores are distributed.”
Environmental sensor data rolling average
“Here are 150 rows of environmental sensor readings with sample_value as the measured reading and sample_weight as the sensor confidence. Give me a trailing mean series using a window of 10 and a 5-bin equal-width histogram on sample_weight so I can understand the confidence distribution.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a histogram distribution report computed together on the same set of up to 200 sampling observation records in a single call. It is ideal for offline/batch analytical workflows where data is already collected and you want local statistical summaries without any external data enrichment, prediction, or live lookups. Prefer it over general-purpose analytics when you need both reports at a fixed low cost per call.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern
- Window size outside range 2–200
- Bins count outside range 1–30
- sample_value or sample_weight values outside allowed range (-1e12 to 1e12)
- Missing required row fields (row_id, dataset_group, date, sample_value, sample_weight)
- All sample_value or sample_weight fields are null — histogram or mean series cannot be computed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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