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Web Traffic IQR Outlier Flags
x402
Web Traffic 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 2026-11-01).
Detects IQR-based statistical outliers in web traffic session or conversion data across up to 200 typed records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Web traffic - IQR outlier flags: IQR outlier flags for Web traffic. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded iqr outlier flags deliverable.
Output
A row-level response flagging each submitted record as an IQR outlier or not for the chosen field (sessions or conversions), along with computed IQR bounds (Q1, Q3, lower fence, upper fence) used to determine outlier status.
Example use cases
Spike detection in paid traffic
“I have daily sessions and conversions data for my paid and organic channels over the last 3 months — can you flag any rows where sessions are IQR outliers so I can investigate traffic spikes or drops?”
Conversion anomaly audit before reporting
“Before I send my weekly marketing report, run IQR outlier detection on our conversion numbers across all channels for the past 30 days and tell me which rows look statistically abnormal.”
Data quality check on imported analytics
“I just imported web traffic data from a third-party tool and I'm worried some rows have bad values — can you run an IQR outlier check on the sessions field across my 120 records to catch any suspicious entries?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-web-traffic-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local IQR-based outlier flagging on structured web traffic records (sessions or conversions) without requiring external enrichment, forecasting, or ML models. Ideal for data quality checks, pre-reporting audits, or anomaly triage on small-to-medium datasets (up to 200 rows).
Side effects
- Fewer than 1 row submitted — rejected by minItems constraint
- More than 200 rows submitted — rejected by maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Unknown field value other than 'sessions' or 'conversions' — enum validation failure
- All null values in the selected field — may produce undefined IQR bounds
- Missing required fields (row_id, channel, date, sessions, conversions) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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