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Broken Link Observations — String Normalisation + Date by Category Pivot
x402
Broken Link Observations — String Normalisation + 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 broken link observation data: string normalisation and a date-by-category pivot, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Broken link observations — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied broken link observations records (checked_links, broken_links). 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
Two local analytical reports: (1) a string normalisation report cleaning site_group and other string fields, and (2) a date-by-category pivot table aggregating the selected numeric field (checked_links or broken_links) across site groups and dates. No external lookups or predictions; all computation is performed on the supplied rows.
Example use cases
Weekly broken link audit by site group
“I have a week's worth of broken link scan results across three site groups — can you normalise the strings and give me a date-by-category pivot on the broken_links counts so I can see which group had the most issues each day?”
Link health trend report for QA team
“We ran daily link checks across our site groups for the past month and collected checked_links and broken_links per day — can you process up to 200 rows of that data, run string normalisation and a date pivot by category, and report on broken_links?”
Compare checked vs broken links across groups
“Here are 150 rows of link observation records with site_group, date, checked_links, and broken_links — please run the two-report analysis using checked_links as the field and give me the normalised strings and date-by-category pivot.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-17-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have broken link observation records with site groups and dates and need both string normalisation and a date-by-category pivot in a single low-cost call. Ideal for web QA pipelines, link audit workflows, or any scenario where you need to clean and cross-tabulate link health data without external lookups or predictions. Best suited for datasets up to 200 rows.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, site_group, date, checked_links, broken_links) — request rejected
- Numeric values outside allowed range — validation error
- Invalid field enum value (not checked_links or broken_links) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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