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URL Canonicalization Data — Record Quality Audit + Exact Row Deduplication + Numeric Distribution
x402
URL Canonicalization Data — Record Quality Audit + Exact Row Deduplication + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Runs three analytical reports on URL canonicalization data: a record quality audit, exact row deduplication, and numeric distribution analysis for observed_urls and unique_urls fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied url canonicalization records (observed_urls, unique_urls). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports: (1) a record quality audit flagging completeness and validity issues in the supplied rows, (2) an exact row deduplication report identifying identical records, and (3) a numeric distribution summary (e.g. min, max, percentiles) for the selected field (observed_urls or unique_urls). All analysis is performed locally on the submitted data with no external lookups.
Example use cases
Pre-pipeline URL data quality check
“I have a batch of URL canonicalization records from my crawler — site groups 'ecommerce' and 'blog' across the past week — and I need a quality audit plus duplicate detection before I load them into the data warehouse. Can you run all three reports on the observed_urls field?”
SEO team URL deduplication audit
“Our SEO team collected URL observation data across five site groups for October and we think there are duplicate rows. Can you run an exact deduplication check and a quality audit on this data, up to 200 rows, analyzing the unique_urls field?”
URL coverage distribution analysis
“I want to understand the numeric distribution of observed URLs across our site groups for the last quarter — min, max, spread, that kind of thing. Can you run the distribution report on this dataset of URL canonicalization records using the observed_urls field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have URL canonicalization records (observed_urls, unique_urls) that need local data profiling — quality audit, deduplication, and distribution — without any external lookup or prediction. Ideal for pre-ingestion data validation, SEO data pipelines, or web crawl QA workflows. Best for datasets up to 200 rows where you want three reports for a single $0.01 flat fee.
Side effects
- Exceeding 200 rows triggers a validation error
- Missing required fields (row_id, date, site_group, observed_urls, unique_urls) causes row rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns an error
- Invalid field enum value (not observed_urls or unique_urls) causes request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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