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Supplier Delivery Evidence — Adjacent Row Changes + IQR Outlier Flags
x402
Supplier Delivery Evidence — 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 2026-10-16).
Analyzes supplier delivery evidence records to detect adjacent row changes and flag IQR-based outliers across up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier delivery evidence — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags for supplied supplier delivery evidence records (deliveries, on_time_deliveries). 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 submitted rows: (1) an adjacent row changes report showing where consecutive values change significantly for the selected field, and (2) an IQR outlier flags report marking rows whose field values fall outside the interquartile range bounds — all computed locally without external lookups.
Example use cases
Supplier delivery audit for anomalies
“I have a CSV of daily delivery records from our suppliers with columns for date, company group, deliveries, and on_time_deliveries — can you run both adjacent row change detection and IQR outlier flagging on the deliveries field to spot anything suspicious?”
On-time delivery performance analysis
“We need to check our on_time_deliveries data for outliers and sudden jumps between consecutive rows — can you run the IQR outlier flags and adjacent row changes reports on this dataset of 120 supplier delivery records using the on_time_deliveries field?”
Multi-group delivery comparison check
“I've got delivery evidence records across several company groups over the past quarter — can you analyze adjacent row changes and flag IQR outliers in the deliveries column so I can see which groups have erratic patterns?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-15-157?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular supplier delivery data with time-ordered rows and need two complementary statistical analyses — adjacent row change detection and IQR-based outlier flagging — in a single call. It is ideal for supply chain data quality audits, delivery performance monitoring, and anomaly detection on small-to-medium datasets (up to 200 rows) without requiring external data sources or live predictions.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, company_group, date, deliveries, on_time_deliveries) in one or more rows
- Invalid date format — must match YYYY-MM-DD pattern
- Invalid field selector — must be 'deliveries' or 'on_time_deliveries'
- Payment not received or insufficient — x402 payment required at $0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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