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Archive Retrieval IQR Outlier Flags + Date by Category Pivot
x402
Archive Retrieval IQR Outlier Flags + 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 2026-10-23).
Runs two analytical reports on archive retrieval data: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows of retrieved/attempted page counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Archive retrieval — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied archive retrieval records (retrieved_pages, attempted_pages). 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 analytical reports delivered together: (1) an IQR outlier flag report identifying which rows have retrieved_pages or attempted_pages values outside the interquartile range, and (2) a date-by-category pivot table grouping the selected numeric field by date and site_group. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Outlier detection in crawl logs
“I have a batch of web archive crawl records with site groups and daily page counts — can you flag any IQR outliers in the retrieved_pages column and also pivot the data by date and category so I can see patterns?”
Monitoring archive retrieval gaps
“Here are 120 rows of archive retrieval logs from the past quarter, each with a date, site_group, retrieved_pages, and attempted_pages. Run outlier detection on attempted_pages and show me a date-by-category pivot so I can spot where retrieval dropped off.”
Validating web scraping pipeline output
“We just finished a large archiving run across multiple site groups. Can you take these records and produce an IQR outlier report plus a date-by-category pivot on retrieved_pages to see if anything looks statistically off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-22-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have archive retrieval records (with retrieved_pages and attempted_pages metrics across site groups and dates) and need both outlier detection and a categorical pivot in a single cheap call. Ideal for batch post-processing of crawl logs, audit pipelines, or quality checks on archiving runs where you already have the data and need offline statistical analysis without any live lookups or external data enrichment.
Side effects
- Fewer than 1 row provided — request rejected
- More than 200 rows provided — exceeds maximum, request rejected
- Missing required fields (row_id, site_group, date, retrieved_pages, attempted_pages) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Field enum value not one of retrieved_pages or attempted_pages — invalid input
- Insufficient data spread for meaningful IQR computation (e.g. all identical values) — may produce trivial or empty outlier flags
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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