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URL Canonicalization — Secondary-Measure Weighted Mean + Keyed Dataset Comparison
x402
URL Canonicalization — Secondary-Measure Weighted Mean + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Computes a secondary-measure weighted mean and performs keyed dataset comparison on up to 200 rows of URL canonicalization data (observed_urls, unique_urls), producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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 computed locally from the supplied data: (1) a secondary-measure weighted mean report for the selected field (observed_urls or unique_urls) across the provided rows, weighted by the complementary measure; and (2) a keyed dataset comparison report that aligns rows from the primary and comparison datasets by row_id and reports differences in the selected field. No external data is fetched; all computation is performed on the submitted records.
Example use cases
Baseline vs variant URL crawl comparison
“I ran two crawls of our site network — a baseline and an updated one — and I want to compare them row by row. Can you run the keyed dataset comparison and weighted mean report on both, using 'observed_urls' as the field? Here are the rows: baseline has row-1 group-a 2026-10-01 with unique_urls=5 observed_urls=50, and the variant has the same row but observed_urls=62.”
Site group URL deduplication trend analysis
“We have 4 site groups tracked daily for URL canonicalization — can you compute the secondary-measure weighted mean for 'unique_urls' across these rows and compare group-a vs group-b datasets? Rows: [{date:'2026-11-01',row_id:'r1',site_group:'group-a',unique_urls:10,observed_urls:100},{date:'2026-11-01',row_id:'r2',site_group:'group-b',unique_urls:8,observed_urls:90}].”
Pre/post URL normalization audit
“We applied a URL normalization pass to our index and I want to see how much the unique_urls count shifted — can you compare the pre-normalization and post-normalization records using the keyed comparison and weighted mean report with 'unique_urls' as the target field? I have 6 rows in each dataset keyed by row_id.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular URL canonicalization records with observed_url and unique_url counts and need both a weighted mean summary statistic and a row-keyed comparison between two dataset snapshots in a single call. Ideal for SEO audits, crawl quality monitoring, and URL deduplication analysis where you control the data and need offline analytical computation rather than live web lookups. The flat $0.01 USDC price covers both reports for up to 200 rows, making it cost-effective for small-to-medium batch analytics.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected, exceeds limit
- Missing required fields (row_id, site_group, date, observed_urls, unique_urls) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Non-numeric values in observed_urls or unique_urls — type validation error
- Mismatched row_ids between primary and comparison datasets — comparison report may show unmatched rows
- All values null in selected field — weighted mean may be undefined or zero
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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