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Sampling Observations Analytics — Record Quality Audit + Exact Row Deduplication + Category Frequencies
x402
Sampling Observations Analytics — Record Quality Audit + Exact Row Deduplication + Category Frequencies 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 local analytical reports on sampling observation records: a record quality audit, exact row deduplication, and category frequency analysis — all on up to 200 rows of sample_value/sample_weight data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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
Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed fields across the sample_value and sample_weight columns; (2) an exact row deduplication report identifying and removing fully identical rows; and (3) a category frequency report showing the count distribution of each unique dataset_group value.
Example use cases
Survey data quality check before analysis
“I have 120 sampling observation rows from our Q3 survey — each has a row_id, date, sample_value, sample_weight, and a dataset_group. Can you audit them for quality issues, spot any exact duplicate rows, and show me how many records fall into each dataset_group?”
Deduplicating lab sample records
“We collected lab samples across three groups over the past month and I think there may be duplicate entries. Can you run an exact deduplication check on my 80 sample records and also give me a quality audit and a count of how many records are in each category?”
Category frequency summary for weighted samples
“Before I hand off this sampling dataset to the statistician, I want to make sure it's clean — can you check record quality, remove exact duplicate rows, and give me a frequency breakdown by dataset_group for these 45 weighted sample observations?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and category frequency — on sampling observation data (with sample_value and sample_weight fields) in a single API call for a flat $0.01 USDC fee. It is ideal for pre-analysis data cleaning pipelines on datasets up to 200 rows where no external lookup, prediction, or live data is needed.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes row-level errors in the quality audit
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Empty rows array or missing rows property causes request rejection
- Values outside the allowed numeric range (±1,000,000,000,000) fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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