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URL Canonicalization — Numeric Interval Filter + Date by Category Pivot
x402
URL Canonicalization — Numeric Interval Filter + 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 2026-10-26).
Runs two analytical reports on user-supplied URL canonicalization data: filters rows by a numeric interval on observed/unique URL counts, and pivots date-based metrics by site category.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Numeric interval filter + Date by category pivot: Numeric interval filter + 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 reports derived from the supplied rows: (1) a numeric interval-filtered subset of records where the chosen field (observed_urls or unique_urls) falls between the specified minimum and maximum values, and (2) a date-by-category pivot table aggregating the selected metric by site_group across dates. Up to 200 input rows are supported per call.
Example use cases
SEO audit of crawl volume by site group
“I have a week of URL crawl data split across three site groups — can you filter out the rows where observed_urls is between 0 and 50, and then show me a pivot of observed_urls broken down by site_group and date? I'll paste the rows: row-1 (alpha, 2026-11-01, unique=5, observed=45), row-2 (beta, 2026-11-02, unique=12, observed=80), row-3 (alpha, 2026-11-03, unique=7, observed=30).”
Identifying low-traffic canonicalization groups
“Can you run an interval filter on my URL canonicalization records to find rows where unique_urls is between 1 and 5, and also pivot the unique_urls count by site_group per date? My data: row-1 (group-x, 2026-09-10, unique=2, observed=100), row-2 (group-y, 2026-09-11, unique=6, observed=200), row-3 (group-x, 2026-09-12, unique=4, observed=90), row-4 (group-z, 2026-09-13, unique=1, observed=50).”
Monthly site-group URL trend breakdown
“I want two reports on my URL data for October: one filtering observed_urls between 100 and 500, and one pivoting observed_urls by site_group across dates. Here are my rows: row-1 (main-site, 2026-10-05, unique=20, observed=150), row-2 (blog, 2026-10-06, unique=8, observed=80), row-3 (main-site, 2026-10-07, unique=25, observed=400), row-4 (blog, 2026-10-08, unique=10, observed=60).”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 URL canonicalization records with site_group and date dimensions and need both a numeric band filter and a category-date pivot in one call for $0.01 USDC. It is ideal for lightweight, offline analytical reporting on crawl or SEO data without requiring a live database or external lookup service.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, site_group, date, observed_urls, unique_urls) — request rejected
- minimum greater than maximum — likely returns empty interval filter result
- Field value not in enum (observed_urls, unique_urls) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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