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Competitor Supplied Prices — Numeric Row Ordering + IQR Outlier Flags
x402
Competitor Supplied Prices — Numeric Row Ordering + IQR Outlier Flags 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).
Applies numeric row ordering and IQR-based outlier flagging to user-supplied competitor price records (list_price or package_quantity), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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 for the supplied dataset: (1) a numeric row ordering of the selected field (list_price or package_quantity) showing ranked positions, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range bounds. No external data is fetched; all analysis uses the submitted rows only.
Example use cases
Spot anomalous competitor pricing
“I've collected pricing data from 50 competitors and I want to know which list prices are statistical outliers — can you sort them numerically and flag anything outside the IQR bounds? I'll send you the rows with row IDs, company groups, dates, list prices, and package quantities.”
Rank package quantities for procurement review
“Can you order our competitor package quantity records from lowest to highest and flag any entries that look like outliers using IQR? I have about 120 rows covering different company groups and dates — I want to focus on the package_quantity field.”
Pre-analysis data quality check on price feed
“Before we import this competitor price feed into our model, can you run a numeric ordering and IQR outlier check on the list_price column? I have 80 rows with row IDs, dates, company groups, list prices, and package quantities that I need checked.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-119?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have user-supplied competitor pricing records (up to 200 rows) and need both a ranked numeric ordering and IQR-based outlier detection in a single call. Prefer this over general analytics tools when you want a lightweight, stateless, pay-per-use analysis with no external data access or storage. It is ideal for pre-processing or QA steps on competitor price datasets before deeper modeling.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected, exceeds limit
- Missing required fields (row_id, company_group, date, list_price, package_quantity) — schema validation error
- Invalid date format (not YYYY-MM-DD) — rejected
- Field selector not one of list_price or package_quantity — enum validation error
- All values null for selected field — IQR computation may be undefined or return empty flags
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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