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Sampling Observations — Numeric Interval Filter + IQR Outlier Flags
x402
Sampling Observations — Numeric Interval Filter + 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).
Filters sampling observation rows to a numeric interval and flags IQR-based outliers for sample_value or sample_weight fields, producing two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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
Two analytical reports: (1) rows that fall within the specified numeric interval for the chosen field, and (2) IQR-based outlier flags identifying which rows have extreme values relative to the interquartile range — both computed locally on the supplied data, up to 200 rows.
Example use cases
Survey response outlier detection
“I have 150 survey response rows with sample_value scores — filter them to values between 0 and 500 and flag any IQR outliers in the sample_value field so I can see which responses are anomalous.”
Weighted sample quality audit
“Can you run an IQR outlier check on the sample_weight field for my 80 observation records, filtering to weights between 1 and 1000, so I know which rows have extreme weighting before I run my analysis?”
Lab measurement range validation
“I've got 60 lab measurement rows grouped by experiment — filter sample_value to the range -50 to 50 and give me both the interval filter report and IQR outlier flags so I can spot any bad readings.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 sampling observation rows and need both a numeric interval filter and IQR outlier detection in a single call without sending data to external services — ideal for lightweight statistical QA on survey, lab, or weighted sample data where privacy or cost matter.
Side effects
- Fewer than 1 row supplied — minItems violation returns validation error
- More than 200 rows supplied — maxItems violation returns error
- Invalid date format (non-YYYY-MM-DD) causes schema validation failure
- minimum greater than maximum may produce empty interval filter result
- Null values in sample_value or sample_weight may affect IQR computation
- Field enum value other than 'sample_value' or 'sample_weight' causes rejection
- Payment failure (insufficient USDC) results in 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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