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URL Canonicalization — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
URL Canonicalization — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill 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 a secondary-measure weighted mean and fills missing values in URL canonicalization datasets (observed_urls, unique_urls) across up to 200 supplied rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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
Two independent analytical reports: (1) a secondary-measure weighted mean computation over the selected field (observed_urls or unique_urls) grouped by site_group and date, and (2) an explicit missing-value fill report replacing nulls using the chosen method (zero, mean, or median) — both derived entirely from the supplied row data, with no external lookups.
Example use cases
SEO audit URL deduplication analysis
“I have a dataset of 80 rows tracking observed and unique URLs across two site groups over the past month. Can you compute the weighted mean for 'unique_urls' and fill any missing values using the mean method so I can see the normalized distribution?”
Web crawl data quality report
“My web crawler produced a 120-row CSV with observed_urls and unique_urls per site group and date, but some rows have nulls. Please generate the weighted mean plus missing-value fill reports using 'observed_urls' as the field and zero-fill for the gaps.”
Multi-site URL canonicalization benchmark
“I'm comparing URL canonicalization across three site groups over 60 daily records. Run both the secondary-measure weighted mean and the explicit missing-value fill using median on the unique_urls column and give me the two summary reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a pre-collected dataset of URL canonicalization records (observed_urls, unique_urls) and need both a weighted mean aggregation and missing-value imputation in a single low-cost call. It is ideal for offline/batch analytical workflows where no live web lookup or prediction is needed, and where you want two complementary statistical reports from shared local computation on up to 200 rows.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds batch limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Field value outside allowed numeric range — schema rejection
- Unknown fill method or field enum value — request rejected
- All values null for a group — weighted mean undefined, may return null or NaN
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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