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URL Canonicalization Analytics — Numeric Row Ordering + Trailing Mean Series
x402
URL Canonicalization Analytics — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Computes numeric row ordering and trailing mean series for up to 200 URL canonicalization records, returning two analytical reports on observed_urls and unique_urls data.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean 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 numeric row ordering of the submitted URL canonicalization records ranked by the selected metric, and (2) a trailing mean series (rolling average) computed over the specified window size for the chosen field (observed_urls or unique_urls), both derived entirely from the supplied data with no external lookups.
Example use cases
SEO crawl deduplication trend analysis
“Here are 10 days of URL crawl records for my site groups alpha and beta, each with observed and unique URL counts. Run the row ordering plus trailing mean series on unique_urls with a window of 3 so I can see the smoothed deduplication trend.”
Ranking site groups by URL volume
“I've got 50 rows of canonicalization data across 5 site groups with daily observed_urls figures. Give me the numeric row ordering and rolling mean for observed_urls using a window of 5.”
Weekly URL canonicalization summary report
“Can you analyze these 30 rows of weekly URL canonicalization records — site_group, date, observed_urls, and unique_urls — and produce both the numeric ordering and trailing mean series reports using a window of 4 on unique_urls?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-115?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of URL canonicalization data (with observed_urls and unique_urls counts per site group and date) and need both a numeric ordering of rows and a trailing moving average series computed locally from your own data — ideal for offline batch analytics where no live lookup or external data enrichment is needed, at a low fixed cost of $0.01 USDC for both reports.
Side effects
- Missing required fields (row_id, date, site_group) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Fewer than 1 or more than 200 rows triggers schema validation failure
- Window size smaller than 2 or larger than 200 is rejected
- Null numeric values in both observed_urls and unique_urls may produce incomplete series
- Field value not in enum ['observed_urls','unique_urls'] causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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