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Sampling Observations — Record Quality Audit + Grouped Numeric Summary
x402
Sampling Observations — Record Quality Audit + Grouped Numeric Summary 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 up to 200 sampling observation rows: a data quality audit and a group-level numeric summary of sample_value or sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 reports: (1) a record quality audit identifying missing, null, or out-of-range values per row, and (2) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) for the chosen field (sample_value or sample_weight) broken down by dataset_group. All computation is performed locally with no external lookups.
Example use cases
Survey sample quality check
“I have 80 rows of survey sampling data with sample values and weights assigned to groups A, B, and C — can you audit them for data quality issues and give me a grouped numeric summary of the sample_value field?”
Weighted sample group comparison
“Run a grouped numeric summary on my 120 sampling observation rows using the sample_weight field — I want to see how the weights differ across my dataset groups and whether there are any quality problems.”
Pre-analysis data validation
“Before I run my main analysis, can you do a quality audit and group-level numeric summary on these 40 sampling records I'm about to use? I need to check for missing values and see the distribution of sample_value across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a grouped numeric summary in one call for up to 200 sampling observation rows with sample_value and sample_weight fields. It is ideal for pre-analysis validation of survey or measurement datasets grouped by category, where no live data lookup or prediction is needed and cost efficiency matters ($0.01 for two reports).
Side effects
- Fewer than 1 or more than 200 rows causes a validation error
- Invalid date format (not YYYY-MM-DD) causes rejection
- row_id missing or empty string causes schema error
- sample_value or sample_weight outside ±1,000,000,000,000 range causes rejection
- Invalid field enum value (not 'sample_value' or 'sample_weight') causes error
- Additional properties in row objects cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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