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URL Canonicalization — Category Frequencies + Explicit Missing-Value Fill
x402
URL Canonicalization — Category Frequencies + 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 2026-10-22).
Analyzes up to 200 URL canonicalization records by computing category frequencies for site groups and filling missing values in observed_urls or unique_urls using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Category frequencies + Explicit missing-value fill: Category frequencies + 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 analytical reports: (1) a category frequency table showing how often each site_group value appears across the supplied rows, and (2) a missing-value fill report where nulls in the chosen numeric field (observed_urls or unique_urls) are replaced using the specified method (zero, mean, or median). Results are computed locally on the supplied data with no external lookups.
Example use cases
Missing URL metrics imputation for site audit
“I've got a dataset of 50 URL canonicalization records with some null observed_urls values across dates in October 2026 — can you fill in those missing values using the mean and also give me the frequency breakdown by site group?”
Site group frequency analysis for SEO team
“Can you analyze my URL canonicalization records for these 3 site groups over the past month and tell me how frequently each site group appears, and fill any missing unique_urls using zero imputation?”
Data quality prep before URL deduplication pipeline
“Before I run deduplication, I need to understand the category distribution of site_group across my 150 URL records and impute any missing observed_urls using median — can you generate both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous local analytical reports on URL canonicalization datasets — specifically a site_group category frequency summary combined with missing-value imputation for numeric URL metrics. It is well-suited for preprocessing URL data before deduplication or further analysis, when you need low-cost ($0.01) batch computation on up to 200 rows without any external API calls or live web lookups.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, site_group, date, observed_urls, unique_urls) cause validation errors
- Invalid date format not matching YYYY-MM-DD pattern causes schema rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) cause validation failure
- Invalid method enum value (not zero, mean, or median) causes rejection
- Invalid field enum value (not observed_urls or unique_urls) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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