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Business Website Inventories — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Business Website Inventories — 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 2026-10-17).
Audits record quality, normalises strings, and filters by numeric interval for business website inventory data (page_count, verified_pages) across up to 200 rows, returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business website inventories — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied business website inventories records (page_count, verified_pages). 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 independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-spec values across up to 200 rows; (2) a string normalisation report for company_group values; and (3) a numeric interval filter report identifying which rows fall within or outside the specified minimum/maximum range for the chosen field (page_count or verified_pages).
Example use cases
Data quality check before reporting
“I have 120 rows of website inventory records with company_group, page_count, and verified_pages — can you audit their quality, normalise the company name strings, and filter out any page_count values outside the range 10 to 1000 before I include them in my report?”
Cleaning scraped web inventory data
“We scraped website page counts from about 80 companies and the data is messy — please run a record quality audit and string normalisation on the company_group field, and filter verified_pages to only keep values between 0 and 200.”
Validating inventory before CRM import
“Before we import these 150 business website inventory records into our CRM, can you run all three checks — record quality audit, string normalisation, and a numeric interval filter on page_count from 1 to 50000 — so we catch any issues upfront?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined data-quality operations (record audit, string normalisation, and numeric range filtering) on business website inventory data in a single low-cost call. Ideal for pre-processing small-to-medium datasets (up to 200 rows) before reporting, CRM import, or further analytics. Not suitable if you need live lookups, predictions, or external data enrichment.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, page_count, verified_pages, company_group) in one or more rows — validation error returned
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Minimum value greater than maximum value — may produce empty interval filter results
- Numeric values outside the allowed ±1,000,000,000,000 range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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