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Sampling Observations Analytics — Record Quality Audit, Exact Row Deduplication & Numeric Row Ordering
x402
Sampling Observations Analytics — Record Quality Audit, Exact Row Deduplication & Numeric Row Ordering 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 three independent analytical reports (record quality audit, exact row deduplication, and numeric row ordering) on up to 200 sampling observation rows containing sample_value and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent reports covering: (1) a record quality audit highlighting missing values, type issues, or anomalies in the sampling rows; (2) an exact row deduplication report identifying and removing identical rows; and (3) a numerically ordered view of the rows ranked by the selected field (sample_value or sample_weight). All reports are generated locally from the supplied data with no external lookups.
Example use cases
Survey sample data quality check
“I have 120 rows of survey sample data with row IDs, dates, group labels, sample values, and sample weights — can you run a quality audit on them, flag any exact duplicates, and give me the rows ordered by sample_value?”
Weighted sample deduplication before analysis
“Before I run my weighted analysis, I need to deduplicate my 80-row sampling dataset and audit it for quality issues — the key fields are sample_value and sample_weight. Can you do all three reports at once?”
Numeric ordering of lab sampling records
“I've got lab sampling observations from October 2026 across two groups, group-a and group-b, and I need them deduplicated, quality-checked, and sorted numerically by sample_weight so I can review them in order.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical passes (quality audit, deduplication, and numeric ordering) on sampling observation data in a single low-cost call. Ideal for data pipeline pre-processing steps where sample_value and sample_weight are the key numeric fields and you want to clean and validate up to 200 rows without any external data lookups or predictions.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) in any row
- Date field not matching YYYY-MM-DD pattern
- sample_value or sample_weight outside the ±1,000,000,000,000 range
- Invalid field selector — must be 'sample_value' or 'sample_weight'
- Empty rows array — minItems is 1
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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