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URL Canonicalization — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
URL Canonicalization — Two-Measure Correlation + 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).
Computes two-measure correlation and secondary-measure weighted mean analytics on URL canonicalization datasets containing observed_urls and unique_urls metrics, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + 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 independent analytical reports generated from the supplied URL canonicalization rows: (1) a two-measure correlation report quantifying the statistical relationship between observed_urls and unique_urls, and (2) a secondary-measure weighted mean report summarizing the weighted average of the selected field. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
URL deduplication efficiency audit
“I have 200 rows of daily URL canonicalization data across three site groups — can you run the correlation and weighted mean analysis on the observed_urls field so I can see how tightly unique URL counts track total observations?”
Site group comparison by unique URL share
“Run the two-measure correlation plus weighted mean reports on my canonicalization dataset using unique_urls as the field — I want to understand the relationship between unique and observed URL counts across our site groups from October 2026.”
Weekly crawl quality trend analysis
“Here are 50 rows of URL tracking records with dates, site groups, observed_urls, and unique_urls — analyze them for correlation and compute the secondary-measure weighted mean on observed_urls so I can spot which groups have the most redundant URL crawls.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous correlation analysis and weighted mean computation on URL canonicalization datasets (observed_urls vs unique_urls) grouped by site and date, all in a single low-cost call. It is especially useful for web crawl quality audits, duplicate URL detection efficiency analysis, or site group comparisons where both a relationship metric and a weighted summary are needed without any external data enrichment or live lookups.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, site_group, date, observed_urls, unique_urls) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Null values in numeric fields may affect correlation computation
- row_id exceeds 80 character limit — validation error
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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