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URL Canonicalization — Category Frequencies + Daily Sum Series
x402
URL Canonicalization — Category Frequencies + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Computes category frequency distributions and daily sum time series for URL canonicalization metrics (observed_urls, unique_urls) from supplied row data.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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: (1) a category frequency table showing how often each site_group value appears in the supplied rows, and (2) a daily sum series showing the total of the selected field (observed_urls or unique_urls) aggregated by date. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily URL volume trend analysis
“I've got a dataset of daily URL observations across multiple site groups and want to see both how the total observed_urls sum trends day by day and how frequently each site group appears — can you run both reports on these rows: [{"date":"2026-10-01","row_id":"r1","site_group":"blog","unique_urls":5,"observed_urls":50},{"date":"2026-10-02","row_id":"r2","site_group":"shop","unique_urls":3,"observed_urls":30},{"date":"2026-10-03","row_id":"r3","site_group":"blog","unique_urls":7,"observed_urls":60}] using observed_urls?”
Site group frequency breakdown
“From my web crawl records I want to know how often each site group shows up (category frequencies) and the daily sum of unique_urls — here are my rows: [{"date":"2026-11-01","row_id":"a1","site_group":"news","unique_urls":12,"observed_urls":100},{"date":"2026-11-01","row_id":"a2","site_group":"forum","unique_urls":8,"observed_urls":80},{"date":"2026-11-02","row_id":"a3","site_group":"news","unique_urls":15,"observed_urls":120}], please use the unique_urls field.”
URL canonicalization audit summary
“I'm auditing URL canonicalization across our properties and need category frequencies plus a daily sum series for observed_urls from this data: [{"date":"2025-03-10","row_id":"x1","site_group":"ecommerce","unique_urls":20,"observed_urls":200},{"date":"2025-03-11","row_id":"x2","site_group":"ecommerce","unique_urls":18,"observed_urls":180},{"date":"2025-03-12","row_id":"x3","site_group":"blog","unique_urls":5,"observed_urls":55}] — can you generate both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-102?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected URL canonicalization data (observed_urls and unique_urls per site group and date) and need two quick analytical summaries — category frequencies and daily sums — without any live web lookups, predictions, or external data enrichment. It is cost-effective at $0.01 USDC for both reports on up to 200 rows.
Side effects
- Empty rows array or missing required fields (row_id, site_group, date, observed_urls, unique_urls) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Row count exceeding 200 items returns an error
- Invalid field enum value (not 'observed_urls' or 'unique_urls') causes rejection
- Numeric values outside ±1,000,000,000,000 range may be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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