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Structured Data Observations — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Structured Data Observations — IQR Outlier Flags + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Analyzes up to 200 rows of structured observations to produce IQR-based outlier flags and a secondary-measure weighted mean for valid_items or total_items fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Structured data observations — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied structured data observations records (valid_items, total_items). 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 for the submitted rows: (1) per-row IQR outlier flags indicating which observations fall outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the dataset, all derived locally without external lookups.
Example use cases
Quality control for site group metrics
“I have 50 daily observation records across several site groups, each with valid_items and total_items counts. Can you flag which rows have IQR outliers in valid_items and also give me a weighted mean using total_items as the secondary measure?”
Detecting anomalous inventory counts
“Here are 120 rows of inventory observation data with row IDs, dates, site groups, valid_items, and total_items. Run IQR outlier flagging and a secondary-measure weighted mean on total_items so I can spot which entries look abnormal.”
Data validation before pipeline ingestion
“Before I ingest this batch of 80 structured observation records into our pipeline, can you check for IQR outliers in valid_items and compute the weighted mean? Each row has a row_id, site_group, date, valid_items, and total_items.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-08-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous statistical analyses (IQR outlier detection and secondary-measure weighted mean) on a batch of up to 200 structured observation rows with valid_items and total_items fields, without requiring live data lookup or external data enrichment. It is cost-effective at $0.01 USDC for both reports in a single call and is well-suited for data quality checks, anomaly detection pipelines, and pre-ingestion validation workflows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, valid_items, total_items) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- All values null for the selected field — computation may be undefined
- row_id or site_group exceeds 80 character limit — schema rejection
- Payment not completed or insufficient USDC — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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