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Sampling Observations Analytics: Quality Audit + Deduplication + Interval Filter
x402
Sampling Observations Analytics: Quality Audit + Deduplication + 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).
Runs three local analytical reports on sampling observation records: a record quality audit, exact row deduplication, and a numeric interval filter for sample_value or sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 analytical reports covering: (1) a record quality audit flagging missing, null, or malformed fields; (2) an exact row deduplication report identifying duplicate records; and (3) a numeric interval filter report listing rows where the chosen field (sample_value or sample_weight) falls within the specified minimum–maximum range. All computed locally with no external lookups.
Example use cases
Survey data quality check before analysis
“I have 150 rows of survey sampling data with sample_value and sample_weight columns — can you run a quality audit on them, flag any exact duplicates, and filter to only records where sample_value falls between 10 and 250?”
Deduplication of ecological sample records
“Before I run my ecological study analysis, please check these sampling observation records for duplicate rows, audit them for quality issues, and give me a filtered view of records where sample_weight is between 0 and 100.”
Pre-processing validation for weighted sampling pipeline
“I need to validate this batch of up to 200 weighted sample observations before passing them downstream — run a record quality audit, deduplicate exact rows, and filter by sample_value between -50 and 1000 so I can see what's clean.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous local analytical reports — quality audit, deduplication, and numeric interval filtering — on sampling observation data (up to 200 rows) in a single low-cost call. Ideal when no external lookup, live data, or prediction is needed and the goal is purely data validation and filtering on supplied records.
Side effects
- Exceeding 200 rows causes a validation error
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) causes schema rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- minimum greater than maximum may yield an empty interval filter result
- Null values in sample_value or sample_weight are allowed but may affect interval filter output
- Values outside ±1,000,000,000,000 are rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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