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Competitor Supplied Prices — Category Frequencies + Trailing Mean Series
x402
Competitor Supplied Prices — Category Frequencies + Trailing Mean Series 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 price data (list_price, package_quantity) and returns two local analytical reports: category frequency distribution and trailing mean time series.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 for the supplied competitor price records: (1) a category frequency table showing how often each company group (or category) appears in the dataset, and (2) a trailing mean series for the specified field (list_price or package_quantity) using the given window size — all computed locally without external lookups or predictions.
Example use cases
Competitor pricing trend analysis
“I have 120 rows of competitor price data with list_price, package_quantity, company_group, and date fields. Can you compute the category frequencies and a trailing mean series with a window of 7 for list_price across all these records?”
Package quantity distribution by supplier
“Run a frequency breakdown and rolling average report on these 80 competitor records using package_quantity as the field with a trailing window of 4 — I want to see how package sizes are distributed across different company groups over time.”
Monthly competitor price monitoring
“I've collected 200 rows of competitor pricing data for this month. Please give me the category frequencies and trailing mean series for list_price with a window of 10 so I can spot any pricing shifts by company group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of competitor pricing data already in hand and need two fast, local statistical reports — category frequency counts and a trailing mean time series — without requiring external data lookup, live pricing feeds, or predictive modeling. It is particularly useful for lightweight competitive pricing analysis in agent workflows where you supply the raw records and want structured analytical output at minimal cost ($0.01 USDC for both reports).
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- window parameter below 2 or above 200 is invalid
- Numeric values outside the ±1,000,000,000,000 range are rejected
- Empty rows array (minItems: 1) causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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