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Business Website Inventories — Numeric Distribution + IQR Outlier Flags
x402
Business Website Inventories — Numeric Distribution + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Computes numeric distribution statistics and IQR-based outlier flags for page_count or verified_pages fields across up to 200 business website inventory records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business website inventories — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags for supplied business website inventories records (page_count, verified_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
Returns up to 2 statistical reports (one per selected numeric field) covering distribution metrics (min, max, mean, median, quartiles, IQR) and per-row IQR-based outlier flags, computed locally without external lookups or predictions.
Example use cases
Detect outlier page counts in crawl audit
“I have 50 business website records with page_count and verified_pages values — can you run a numeric distribution report and flag any IQR outliers in the page_count field so I can spot anomalous sites?”
QA check on verified pages data
“Before I publish my website inventory report, run an IQR outlier analysis on the verified_pages field across my 120 company records — I want to know which rows look statistically unusual.”
Compare distributions across company groups
“I've got two company groups (alpha and beta) with about 80 rows of website inventory data — analyze the numeric distribution for page_count and tell me which rows are flagged as outliers using IQR.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-080?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical distribution analysis and IQR-based outlier detection on business website inventory records (page_count, verified_pages) for up to 200 rows, without requiring external data lookups or live web access. Ideal for data quality audits, pre-publication checks, or anomaly flagging within a bounded dataset.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, page_count, verified_pages) on any row — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- field enum value not in ['page_count','verified_pages'] — invalid field error
- All numeric values are null — insufficient data for distribution computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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