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Sampling Observations — Exact Row Deduplication + IQR Outlier Flags
x402
Sampling Observations — Exact Row Deduplication + IQR Outlier Flags 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).
Deduplicates exact duplicate rows and flags IQR-based outliers in sampling observation records with sample_value and sample_weight fields, producing two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags 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 analytical reports: (1) an exact row deduplication report identifying which rows among the submitted records are identical across all fields, and (2) an IQR outlier flag report identifying which rows have sample_value or sample_weight values that fall outside the interquartile range boundaries. No live lookups or external data are used; all analysis runs on the submitted data only.
Example use cases
Survey data deduplication and outlier audit
“I have 120 survey sampling records with row IDs, dates, group labels, sample values, and weights — can you find any exact duplicate rows and flag which sample_value entries are IQR outliers before I run my analysis?”
Lab sample quality check before reporting
“Before I finalize my lab report, can you run a deduplication and IQR outlier check on these 80 lab sampling observations? I want to know if any rows are repeated and which sample_weight values look anomalous.”
Market research sample validation
“I need to validate my market research sample dataset — about 150 rows with group tags, dates, and sample values — can you deduplicate exact matches and flag any sample_value outliers using IQR so I can clean it up?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-049?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 sampling observation records and need both exact duplicate detection and IQR-based outlier flagging in a single low-cost call ($0.01 USDC). It is ideal for pre-analysis data cleaning pipelines where you want to identify repeated records and statistically anomalous values without external lookups or predictions. Prefer this over general-purpose data tools when your data specifically has sample_value and sample_weight fields organized by group and date, and you need two structured analytical reports in one pass.
Side effects
- Payload exceeds 200 rows — request rejected
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) — validation error
- Date field does not match YYYY-MM-DD pattern — schema error
- Numeric values outside allowed range (-1T to +1T) — schema rejection
- Fewer than 1 row submitted — minimum items constraint violated
- Too few data points to compute IQR (e.g. single row) — degenerate output
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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