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Competitor Supplied Prices — Grouped Numeric Summary + Trailing Mean Series
x402
Competitor Supplied Prices — Grouped Numeric Summary + 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) by computing grouped numeric summaries and a trailing mean time series for a chosen field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Grouped numeric summary + Trailing mean series: Grouped numeric summary + 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 reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) broken down by company_group for the selected field, and (2) a trailing mean time series showing the rolling average of the selected field (list_price or package_quantity) across the supplied date-ordered rows, using the specified window size. Results cover up to 200 input rows with no external data lookups.
Example use cases
Competitor list price trend analysis
“I've got 50 rows of competitor list prices across three supplier groups with dates. Can you give me a grouped numeric summary and a trailing mean series with a window of 5 on list_price so I can see how each group's prices are trending?”
Package quantity distribution by vendor group
“Here are 120 records of competitor package quantities by company group and date — can you run the grouped summary and trailing mean (window of 4) on package_quantity so I can spot which groups are bundling more aggressively over time?”
Monthly competitor pricing report
“For our monthly pricing review, I have 200 rows of competitor data with list prices by group and date — please compute the grouped numeric summary and trailing mean series with a window of 7 on list_price so I can present a clear statistical picture to the team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-090?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected competitor pricing data locally and need offline statistical analysis — specifically grouped summaries and rolling mean trends — without any live market lookup, prediction, or external enrichment. It is ideal for batch analytical workflows processing up to 200 rows at a time where you want two complementary reports (group statistics + time series moving average) for a single low-cost call. Prefer alternatives if you need live pricing data, forecasting, or more than 200 rows per call.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — rejected with maxItems error
- Window size larger than number of rows — trailing mean may produce sparse or null values
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date) — request rejected
- Non-numeric list_price or package_quantity outside allowed range — validation error
- Payment not processed (x402) — endpoint returns 402 before analysis
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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