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Sampling Observations — Record Quality Audit + Numeric Interval Filter
x402
Sampling Observations — Record Quality Audit + Numeric Interval Filter 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).
Audits data quality and filters rows by numeric interval for sampling observation records containing sample_value and sample_weight fields, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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
Two independent analytical reports: (1) a record quality audit identifying data issues across the supplied sampling observation rows (e.g. missing values, malformed records, anomalies), and (2) a numeric interval filter report listing which rows have the specified field (sample_value or sample_weight) outside the defined minimum-maximum bounds. Up to 200 rows processed per call.
Example use cases
Survey data quality review
“I have 80 rows of survey sampling data with sample_value and sample_weight columns — can you run a record quality audit on all of them and also filter out any rows where sample_value is below 1 or above 250?”
Weighted sample range validation
“Check my sampling observations dataset (up to 120 rows) for quality issues, and separately tell me which records have a sample_weight outside the interval -10 to 1000.”
Pre-analysis dataset cleaning
“Before I run my analysis, can you do a quality audit on these sampling observation records and identify any rows where sample_value falls outside the numeric range 0 to 100? I'll send you the rows with their row_id, date, and dataset_group fields included.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit AND a numeric interval filter applied to sampling observation data (with sample_value and sample_weight fields) in a single paid call. It is purpose-built for survey/sampling datasets and returns two reports for one $0.01 USDC payment covering up to 200 rows. Prefer this over generic data validation tools when your data specifically contains sample_value and sample_weight fields organized by dataset_group and date.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) in one or more rows
- Invalid date format (must be YYYY-MM-DD)
- row_id exceeds 80 character maxLength
- Numeric values outside the allowed range (-1e12 to 1e12)
- minimum greater than maximum causing empty interval
- Invalid field enum value (must be sample_value or sample_weight)
- Payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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