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Competitor Supplied Prices — Daily Sum Series + Two-Measure Correlation
x402
Competitor Supplied Prices — Daily Sum Series + Two-Measure Correlation 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).
Analyzes up to 200 rows of competitor pricing data by computing a daily sum time series and a Pearson correlation between list_price and package_quantity fields, returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 analytical reports: (1) a daily sum time series aggregating the selected numeric field (list_price or package_quantity) grouped by date across up to 200 input rows, and (2) a Pearson or equivalent correlation coefficient between list_price and package_quantity, computed locally without any external data lookup or prediction.
Example use cases
Competitor pricing trend review
“I have 120 rows of competitor pricing records with dates, company groups, list prices, and package quantities — can you compute the daily sum series for list_price and run a correlation between list_price and package_quantity so I can see if higher prices come with larger package sizes?”
Retail category benchmarking analysis
“Here are 80 rows of supplier price data across two company groups from October — please give me the daily summed list_price over time and a two-measure correlation between list_price and package_quantity for my benchmarking report.”
Pricing strategy data validation
“Before we finalize our pricing strategy, can you analyze these 40 competitor price records — I need the daily total list prices as a time series and a correlation check between list_price and package_quantity to see if bundling affects price?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a pre-collected batch of competitor price records (up to 200 rows) and need both a daily aggregated time series and a statistical correlation between price and quantity in a single low-cost call. It is ideal for offline analytical workflows where no live data fetch, prediction, or external enrichment is needed — just fast local computation on supplied data.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, list_price, package_quantity, company_group) cause validation errors
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- All-null values for list_price or package_quantity may produce undefined correlation results
- Payment of 0.01 USDC not completed — endpoint returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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