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Competitor Supplied Prices — Category Frequencies + IQR Outlier Flags
x402
Competitor Supplied Prices — Category Frequencies + 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 2026-10-15).
Analyzes up to 200 rows of competitor pricing data by computing category frequencies and flagging IQR-based outliers for list_price or package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Category frequencies + IQR outlier flags: Category frequencies + 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
Returns two independent analytical reports: (1) category frequency counts showing how often each company_group value appears in the dataset, and (2) IQR-based outlier flags identifying which rows have statistically anomalous values in the selected numeric field (list_price or package_quantity). No external lookups or predictions — pure local statistical computation on the supplied rows.
Example use cases
Spot anomalous competitor list prices
“I have 150 rows of competitor pricing records with company groups and dates — can you run IQR outlier detection on the list_price field and tell me which entries look statistically abnormal?”
Audit package quantity distributions by supplier
“Check my competitor supply dataset for category frequency breakdowns and flag any package_quantity values that are outliers using IQR — I'll give you the full 80-row dataset.”
Weekly competitive price sanity check
“Every week I pull competitor price records. Can you analyze this week's batch of 60 rows for category frequencies by company group and flag any list_price outliers so I can spot data issues before I use the numbers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-107?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of competitor pricing records (up to 200 rows) and need both a group-level frequency summary and statistical outlier detection in one call. It is ideal for lightweight, self-contained data quality audits on competitive price feeds where no external data enrichment or live lookup is needed. Prefer it over general-purpose analytics tools when you want a single low-cost ($0.01 USDC) call that returns two pre-defined reports without configuring a full analytics pipeline.
Side effects
- Fewer than 1 row submitted — minItems:1 violation returns validation error
- More than 200 rows submitted — maxItems:200 exceeded returns validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) causes schema rejection
- Invalid date format (not YYYY-MM-DD) causes pattern validation failure
- Field selector value not in enum ['list_price','package_quantity'] causes rejection
- Null numeric values may reduce IQR computation accuracy if too prevalent
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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