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Competitor Supplied Prices — Record Quality Audit + Numeric Distribution
x402
Competitor Supplied Prices — Record Quality Audit + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs two local analytical reports (record quality audit and numeric distribution) on up to 200 rows of competitor-supplied pricing data covering list_price and package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution for supplied competitor supplied prices records (list_price, package_quantity). 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 independent analytical reports: (1) a record quality audit covering completeness, nulls, and validity for the supplied rows, and (2) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (list_price or package_quantity). Both reports are computed locally with no external lookups.
Example use cases
Competitor pricing data quality check
“I just received a batch of competitor price data with about 150 rows — each row has a row_id, company_group, date, list_price, and package_quantity. Can you audit the record quality and show me the numeric distribution for the list_price field so I know if there are gaps or anomalies before I use it?”
Package quantity distribution analysis
“I've collected 80 rows of competitor supplied pricing records across two company groups and I need a numeric distribution report on the package_quantity field — can you profile that column and flag any quality issues in the records?”
Pre-analysis data profiling for pricing model
“Before I build a pricing model, I want to sanity-check my competitor data — I have 200 rows with list_price and package_quantity per company group. Run a record quality audit and numeric distribution analysis on the list_price column so I can see where the data stands.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-004?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor-supplied pricing records and need both a data quality audit and a numeric distribution profile in a single low-cost call. It is ideal for pre-processing validation before downstream analytics, and when you want purely local computation with no external data lookups or live pricing APIs involved.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, list_price, or package_quantity) on any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Field selector not in enum ['list_price', 'package_quantity'] — rejected
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema error
- Payment of 0.01 USDC not processed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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