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Competitor Supplied Prices — String Normalisation + Secondary-Measure Weighted Mean
x402
Competitor Supplied Prices — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs string normalisation and secondary-measure weighted mean analytics on up to 200 rows of competitor-supplied price data (list_price, package_quantity), producing 2 local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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
Two analytical reports: (1) a string-normalised view of the supplied competitor price records, and (2) a secondary-measure weighted mean computed across up to 200 rows for the selected field (list_price or package_quantity), all processed locally without external lookups or predictions.
Example use cases
Competitor price benchmarking analysis
“I have 120 rows of competitor pricing data with list prices and package quantities across different company groups and dates. Can you string-normalise them and give me the weighted mean of list_price weighted by package_quantity so I can benchmark our pricing?”
Retail category price audit
“Run string normalisation and a secondary-measure weighted mean on these 80 competitor product price rows — the field I care about is package_quantity — and give me both analytical reports.”
Multi-group supplier price review
“I've collected pricing records from four competitor company groups over the past quarter — about 200 rows — with list_price and package_quantity. Can you clean the strings and compute a weighted mean so I can see which groups are pricing outliers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of competitor-supplied pricing records and need both string normalisation and a secondary-measure weighted mean in a single low-cost call ($0.01 USDC for 2 reports). Ideal for local, offline-style analytical processing with no external data lookups or predictions required. Best when inputs are structured with company_group, date, list_price, and package_quantity fields.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) causes row rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Invalid field enum value (not list_price or package_quantity) fails schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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