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Competitor Supplied Prices — Adjacent Row Changes + IQR Outlier Flags
x402
Competitor Supplied Prices — Adjacent Row Changes + 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 competitor price records by detecting adjacent row changes and flagging IQR-based statistical outliers for list_price or package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Adjacent row changes + IQR outlier flags: Adjacent row changes + 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 for the supplied rows: (1) an adjacent row changes report showing value differences between consecutive records for the selected field, and (2) an IQR outlier flags report identifying records whose values fall outside the interquartile range thresholds. Both reports are computed locally without external lookups.
Example use cases
Spot competitor price spike anomalies
“I've got 80 rows of competitor list prices organized by company group and date — can you run an adjacent row change analysis and IQR outlier check on the list_price field to find any suspicious spikes or anomalies?”
Audit package quantity inconsistencies
“I need to audit our competitor package quantity data for statistical outliers and big jumps between consecutive records — here are 120 rows with row_id, company_group, date, and package_quantity values. Please flag anything that looks off using IQR and adjacent row comparison on package_quantity.”
Weekly competitor pricing quality check
“Run a data quality check on this week's competitor pricing data — 150 rows covering multiple company groups. I want both an adjacent-row change report and IQR outlier flags for the list_price field so I can clean the data before using it in our models.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-157?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 sequential change detection and statistical outlier identification in a single low-cost call. Prefer this over generic analytics tools when your data is structured with company_group, date, list_price, and package_quantity fields and you want two complementary anomaly reports simultaneously without external data lookups or predictions.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, company_group, date, list_price, package_quantity) cause validation errors
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- Field selector not one of allowed enum values ('list_price' or 'package_quantity')
- Numeric values outside allowed range (-1e12 to 1e12) rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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