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Sampling Observations — Numeric Interval Filter + Daily Sum Series
x402
Sampling Observations — Numeric Interval Filter + Daily Sum Series 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).
Filters sampling observation rows by a numeric interval and computes a daily sum time series, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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) the subset of input rows whose selected field (sample_value or sample_weight) falls within the specified [minimum, maximum] numeric interval, and (2) a daily sum time series aggregating the selected field values by date across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Quality control range filtering
“I have 200 sensor readings with dates, sample_value, and sample_weight. Filter out any readings where sample_value falls outside 10 to 500, and show me the daily sum of sample_value for each date in the dataset.”
Survey response daily aggregation
“Here are 120 survey response rows — each has a date, a response score as sample_value, and a respondent weight as sample_weight. Keep only rows where sample_value is between 0 and 100, and give me the daily sum of those scores by date.”
Environmental sampling trend analysis
“I've got 80 environmental sampling records with dates and concentration values as sample_value and collection volume as sample_weight. Filter to samples with concentration between 2.5 and 50, and compute the daily total concentration summed across sample groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tabular sampling observation rows (with date, sample_value, and sample_weight fields) and need both a numeric interval filter report and a daily sum time series in a single call for a flat $0.01 fee. It is ideal for lightweight, offline analytical tasks on supplied data where no live data lookup, prediction, or external enrichment is needed. Prefer alternatives if you need more than 200 rows, real-time data, or a different aggregation type (e.g., weighted mean, histogram).
Side effects
- More than 200 rows supplied — request will be rejected or truncated
- Rows missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Minimum greater than maximum threshold produces an empty interval filter result
- Null values in sample_value or sample_weight may be excluded from aggregation
- Values outside ±1,000,000,000,000 exceed schema bounds and will be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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