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URL Canonicalization — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
URL Canonicalization — Numeric Interval Filter + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Filters URL canonicalization records by a numeric interval on observed_urls or unique_urls, then computes a secondary-measure weighted mean across up to 200 supplied rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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: one applying the numeric interval filter to retain rows where the chosen field (observed_urls or unique_urls) falls within [minimum, maximum], and one computing the secondary-measure weighted mean across the filtered dataset. Results are derived entirely from supplied data with no external lookups.
Example use cases
SEO crawl deduplication analysis
“I've got URL canonicalization data for two site groups over the past week — can you filter the records where observed_urls is between 5 and 200, then compute the secondary-measure weighted mean on observed_urls and give me the two reports?”
Unique URL ratio outlier filtering
“Here are 80 rows of URL observation data by date and site group. Filter to rows where unique_urls is between 1 and 50, then run the weighted mean analysis on unique_urls across all my site groups.”
Multi-site URL volume benchmarking
“I want to benchmark URL volume across my site groups — take these 120 canonicalization records, filter to observed_urls between 10 and 300, and run both analytical reports with the secondary-measure weighted mean on observed_urls.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected URL canonicalization records (observed_urls, unique_urls) organized by site group and date, and need to both filter rows to a specific numeric range and compute a weighted mean statistic in a single paid call. Best suited for offline/batch analytical workflows on up to 200 rows where no live web lookup or external data enrichment is required.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds batch limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Field value outside allowed numeric range (±1 trillion) — validation error
- Missing required row fields (row_id, date, observed_urls, unique_urls) — schema error
- minimum greater than maximum — may yield empty filtered set with no rows to average
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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