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URL Canonicalization — Duplicate Key Report + Trailing Mean Series
x402
URL Canonicalization — Duplicate Key Report + 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 2026-10-22).
Analyzes supplied URL canonicalization records to produce a duplicate key report and a trailing mean series for observed or unique URL counts, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Duplicate key report + Trailing mean series: Duplicate key report + 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 independent analytical reports: (1) a duplicate key report identifying rows with repeated key combinations across the supplied URL canonicalization records, and (2) a trailing mean series computed over the specified window for the chosen field (observed_urls or unique_urls), covering up to 200 rows of input data.
Example use cases
Audit SEO crawler URL deduplication logs
“I have a week's worth of URL canonicalization records from our SEO crawler — can you check for any duplicate row keys across site groups and also compute a 7-day trailing mean of observed_urls so I can see the trend?”
Monitor unique URL growth with rolling average
“Run a trailing mean analysis on my unique_urls data across these site groups over the past 30 days using a window of 5, so I can see if unique URL counts are trending up or stabilizing.”
Detect data pipeline key collisions in URL records
“I need to validate my URL canonicalization pipeline output — please generate a duplicate key report for these 150 rows across multiple site groups so I can catch any duplicate date and site_group combinations before loading them into production.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit URL canonicalization records for duplicate key combinations AND compute a rolling/trailing mean time series on URL count metrics, all in a single low-cost call. It is ideal for offline/batch analysis of supplied data (no live lookups), supporting up to 200 rows. Prefer this over general-purpose analytics when your data specifically contains site_group, date, observed_urls, and unique_urls fields and you need both data quality (deduplication) and trend (rolling mean) outputs together.
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
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Window parameter outside 2–200 range causes an error
- Field value not in enum ['observed_urls','unique_urls'] causes rejection
- Null numeric values may affect trailing mean computation quality
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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