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Business Website Inventories — Record Quality Audit + IQR Outlier Flags
x402
Business Website Inventories — Record Quality Audit + 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).
Runs two local analytical reports on supplied business website inventory records: a record quality audit and IQR-based outlier detection on page_count or verified_pages fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business website inventories — Record quality audit + IQR outlier flags: Record quality audit + 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 two analytical reports: (1) a record quality audit identifying data issues such as missing, null, or malformed values across supplied rows, and (2) IQR-based outlier flags identifying which rows have statistically anomalous values in the selected field (page_count or verified_pages). No external lookups or live data — analysis is performed entirely on the supplied dataset of up to 200 rows.
Example use cases
Flagging outlier page counts across company groups
“I have 120 rows of website inventory data for our portfolio companies — each row has a row_id, company_group, date, page_count, and verified_pages. Can you run the quality audit and IQR outlier detection focused on the page_count field so I can see which records are anomalous?”
Validating verified pages before quarterly report
“Before I finalize our Q4 website report, I need a data quality check on 80 website inventory records. Run the record quality audit and IQR outlier flags on the verified_pages field so I can catch any bad data.”
Cleaning website inventory dataset for a single company group
“I've got a dataset of 30 rows for company group 'alpha-tech' with page_count and verified_pages per day — can you audit the record quality and flag IQR outliers on page_count before I load it into our dashboard?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 business website inventory records (with page_count and verified_pages fields) and need both a record quality audit and IQR-based statistical outlier detection in a single low-cost call. Prefer it over generic data validation tools when your data specifically concerns website page inventories organized by company group and date. It is not suitable for live data fetching, real-time monitoring, or datasets with fields beyond the defined schema.
Side effects
- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, company_group, date, page_count, verified_pages) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Selecting a field value outside the allowed enum (page_count, verified_pages) causes rejection
- Empty rows array (minItems: 1 not met) returns an error
- Extremely homogeneous data may produce no IQR outliers even when anomalies seem present
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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