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URL Canonicalization Data — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
URL Canonicalization Data — Record Quality Audit + String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs three local analytical reports on URL canonicalization records: a record quality audit, string normalisation, and a numeric interval filter on observed_urls or unique_urls fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
URL canonicalization — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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
Three structured analytical reports delivered together: (1) a record quality audit flagging missing, malformed, or inconsistent fields across up to 200 rows; (2) a string normalisation report standardising site_group and related string fields; (3) a numeric interval filter report listing which rows fall within or outside the specified minimum/maximum range for the chosen field (observed_urls or unique_urls). No external lookups or live data are involved.
Example use cases
URL crawl data quality check
“I have a batch of URL canonicalization records by site group and date — can you run a record quality audit on them and also normalise the site_group labels? Here are 5 rows with observed_urls and unique_urls values.”
Filtering URL records by numeric range
“From my URL canonicalization dataset, filter out all rows where observed_urls is outside the range 50 to 500. Here are my records: row-1, group-alpha, 2026-11-01, 10 observed, 5 unique; row-2, group-beta, 2026-11-02, 120 observed, 60 unique; row-3, group-alpha, 2026-11-03, 600 observed, 300 unique.”
String normalisation for site group labels
“My URL tracking data has inconsistent site_group names — can you run string normalisation on these records and flag any quality issues? I'll supply 8 rows with dates, observed_urls, and unique_urls.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-20-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have URL canonicalization tabular data (with observed_urls and unique_urls columns by site_group and date) and need three types of local analysis in one call: data quality auditing, string normalisation, and numeric range filtering. It is ideal for offline/batch data hygiene workflows where no live lookup or external enrichment is needed. Prefer it over general-purpose data tools when you want a bundled, cost-effective ($0.01 USDC for all three reports) analytical pass on up to 200 rows of URL tracking records.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- date field does not match YYYY-MM-DD pattern — row rejected or flagged
- row_id missing or blank — required field error
- minimum value exceeds maximum value — logical range error
- field enum value is not 'observed_urls' or 'unique_urls' — invalid enum error
- observed_urls or unique_urls values outside allowed numeric bounds — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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