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URL Canonicalization Analytics — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
URL Canonicalization Analytics — 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 2026-10-23).
Analyzes URL canonicalization records (observed_urls, unique_urls) to produce IQR-based outlier flags and a secondary-measure weighted mean report, processing up to 200 rows offline.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied url canonicalization records (observed_urls, unique_urls). 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) IQR outlier flags identifying which rows fall outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the dataset. Both reports are generated locally without external lookups, covering up to 200 input rows.
Example use cases
SEO crawl anomaly detection
“I've got daily observed_url counts across three site groups over the past two months — can you flag any rows that look like outliers using IQR and also give me a weighted mean summary for the observed_urls field?”
URL deduplication quality audit
“Can you analyze this set of 120 URL canonicalization records — each has a site_group, date, observed_urls, and unique_urls — and tell me which rows have unusual unique_urls values based on IQR, plus a weighted mean across the unique_urls field?”
Multi-site URL monitoring report
“We're comparing URL counts across group-a and group-b for October — here are 80 rows of canonicalization data. Please run the IQR outlier flags and secondary-measure weighted mean on the observed_urls field so I can spot which days had weird traffic patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular URL canonicalization records organized by site group and date and need fast, offline statistical analysis — specifically IQR-based outlier detection and weighted mean computation — without requiring live data lookup or external enrichment. It is well-suited for batch quality checks on web crawl or SEO monitoring datasets of up to 200 rows at minimal cost.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, site_group, observed_urls, or unique_urls) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in the selected numeric field may affect outlier computation
- Invalid field enum value (not 'observed_urls' or 'unique_urls') causes error
- Fewer than 1 row submitted causes minItems validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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