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Dataset Storage IQR Outlier Flags + Keyed Dataset Comparison
x402
Dataset Storage IQR Outlier Flags + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Performs IQR-based outlier detection and keyed row-by-row comparison on two supplied dataset storage snapshots (used_mb, row_count) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison for supplied dataset storage records (used_mb, row_count). 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 independent analytical reports: (1) IQR outlier flags identifying which rows have used_mb or row_count values outside the interquartile range, and (2) a keyed row-by-row comparison between the primary and secondary dataset, highlighting differences per row_id. Both reports are computed locally with no external lookups.
Example use cases
Storage anomaly detection after ETL job
“I just ran an ETL job and want to know if any of my dataset storage records have abnormal used_mb values — can you run IQR outlier flagging on these rows and also diff them against the pre-ETL snapshot to see what changed?”
Weekly storage health check across groups
“Here are this week's and last week's dataset storage snapshots by group — can you flag any IQR outliers in row_count and also do a keyed comparison to highlight which rows differ between the two weeks?”
Pre-migration data quality audit
“Before we migrate these datasets, can you check for outlier used_mb values using IQR across all these storage records and compare the current state against our baseline snapshot to confirm nothing unexpected changed?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-179?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection and a keyed diff between two dataset storage snapshots in a single call. It is purpose-built for storage metric analytics (used_mb, row_count) and handles up to 200 rows per call at very low cost. Prefer this over general-purpose analytics when the data is already structured as dataset storage records with group and date keys.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) on any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- field enum value not one of 'used_mb' or 'row_count' — rejected
- Payment of 0.01 USDC not provided — x402 payment required response
- Mismatched row_ids between primary and comparison dataset — comparison report may show all rows as changed or unmatched
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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