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Competitor Supplied Prices — IQR Outlier Flags + Explicit Missing-Value Fill
x402
Competitor Supplied Prices — IQR Outlier Flags + Explicit Missing-Value Fill 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 to flag IQR-based outliers and fill missing values using zero, mean, or median imputation for list_price or package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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) IQR outlier flags identifying which rows have list_price or package_quantity values outside the interquartile range, and (2) a dataset with explicit missing values filled using the chosen method (zero, mean, or median). No external data is fetched; all analysis is performed locally on the supplied rows.
Example use cases
Retail competitor price audit
“I've collected pricing data from three competitor groups over the last quarter and some list_price values are missing or look suspiciously high — can you flag the IQR outliers and fill the nulls with median for all rows?”
Package quantity anomaly detection
“Run an IQR outlier check and zero-fill any missing package_quantity values across these competitor pricing records for groups A and B — I have about 150 rows dated from 2026-01-01 onward.”
Pre-analysis data cleaning pipeline
“Before I run my pricing model, I need to clean this competitor dataset: flag statistical outliers using IQR and impute missing list_prices with the mean — here are 80 rows grouped by company_group with dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-180?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a batch of up to 200 competitor pricing records and need both outlier detection (IQR-based) and missing-value imputation in one call. Ideal for pre-processing pipelines before modeling or reporting. Prefer this over generic statistical tools when you need two structured reports (outlier flags + filled data) together at low cost ($0.01 USDC). Not suitable for real-time price lookups, predictions, or datasets exceeding 200 rows.
Side effects
- Fewer than 1 row provided — request rejected
- More than 200 rows submitted — exceeds limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Unrecognized fill method or field enum value — schema validation error
- Missing required fields (row_id, company_group, date) — validation failure
- Insufficient data spread to compute meaningful IQR (e.g. all identical values)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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