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Sampling Observations — Record Quality Audit + Duplicate Key Report
x402
Sampling Observations — Record Quality Audit + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs two independent analytical reports (record quality audit and duplicate key detection) 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 + Duplicate key report: Record quality audit + Duplicate key report 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 reports: (1) a record quality audit identifying malformed, missing, or out-of-range values across the supplied rows, and (2) a duplicate key report flagging rows with repeated row_id or key combinations — all computed locally from the supplied data with no external lookups.
Example use cases
Pre-analysis sampling data validation
“I have 80 rows of sampling observations from our survey — each has a row_id, dataset_group, date, sample_value, and sample_weight. Can you audit them for quality issues and flag any duplicate keys before I run my analysis?”
Catching duplicate entries in weighted samples
“We just exported 120 rows of weighted sampling data and I suspect there are duplicate row IDs mixed in. Can you run the duplicate key report and quality audit on these rows so I can clean them up?”
Data pipeline QA for grouped observations
“Before we load these 200 sampling observation records into our database, can you check them for record quality problems and any duplicate keys — the rows include group labels, dates, sample values, and weights?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-003?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous quality checks — record-level audit plus duplicate key detection — on sampling observation data (with sample_value and sample_weight fields) in a single low-cost call. Ideal for pre-processing pipelines where you want to validate data quality and detect duplicates before downstream analysis, without needing live lookups or external data enrichment.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes validation errors
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- sample_value or sample_weight outside ±1,000,000,000,000 range causes schema rejection
- Empty rows array (minItems:1 not met) returns error
- Payment failure via x402 protocol blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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