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URL Canonicalization — Duplicate Key Report + Date by Category Pivot
x402
URL Canonicalization — Duplicate Key Report + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs two local analytical reports on URL canonicalization data: a duplicate key report and a date-by-category pivot, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot 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 independent analytical reports: (1) a duplicate key report identifying rows with repeated key values across the supplied URL canonicalization records, and (2) a date-by-category pivot table aggregating the selected metric (observed_urls or unique_urls) broken down by date and site_group. All computation is local with no external lookups.
Example use cases
SEO crawl deduplication audit
“I've got a list of up to 150 URL canonicalization records across multiple site groups with dates and observed URL counts — can you find any duplicate keys and also pivot the observed_urls by date and site group so I can spot patterns?”
Unique URL coverage pivot by date
“Run a date-by-category pivot on my URL canonicalization dataset using the unique_urls field — I have records for site groups 'brand-us' and 'brand-eu' spanning the last two weeks and want to see how unique URL counts break down by day.”
Data quality check before URL report
“Before I submit my monthly URL report, can you check my canonicalization rows for any duplicate key problems and also give me a pivot of observed_urls by date and site group? I have about 80 rows covering October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-068?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have URL canonicalization records (with observed_urls and unique_urls metrics per site group and date) and need both a duplicate key audit and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical checks on supplied data where no live web lookup or external enrichment is needed, and when the dataset fits within 200 rows.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, site_group, date, observed_urls, unique_urls) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems: 1 not met) causes failure
- Invalid field enum value (not 'observed_urls' or 'unique_urls') rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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