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Competitor Supplied Prices — Numeric Distribution + Trailing Mean Series
x402
Competitor Supplied Prices — Numeric Distribution + 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 competitor price and package quantity data by computing a numeric distribution report and trailing mean time series for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Numeric distribution + Trailing mean series: Numeric distribution + 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 sharing the same input data: (1) a numeric distribution report showing frequency/spread statistics for the selected field (list_price or package_quantity), and (2) a trailing mean series showing the rolling average over the specified window size — both computed locally from the supplied rows without any external lookup.
Example use cases
Competitive pricing spread analysis
“I have 120 rows of competitor price observations with company group, date, list_price, and package_quantity. Can you compute the numeric distribution and a trailing mean series for list_price using a window of 3 so I can see how prices are spread and trending?”
Package quantity trend smoothing
“Take this competitor dataset of 80 rows and give me the numeric distribution plus trailing mean series for package_quantity with a window size of 5 — I want to understand the quantity patterns across our competitors over time.”
Multi-group price benchmarking
“I've collected 200 rows of competitor supplied prices across several company groups. Run both the numeric distribution and trailing mean series reports on list_price with a window of 7 so I can benchmark pricing behavior by group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-076?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a batch of competitor pricing records (up to 200 rows) and need both a distribution summary and a trailing mean time series in one call for 0.01 USDC. Prefer this over building custom analytics when you want quick offline statistical profiling of competitor list prices or package quantities grouped by company, without any external data enrichment or prediction.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, list_price, package_quantity) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Window size less than 2 or greater than 200 is rejected
- Non-numeric values in list_price or package_quantity fields cause computation errors
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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