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Vendor Evaluation Duplicate Key Report + IQR Outlier Flags
x402
Vendor Evaluation Duplicate Key Report + 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 2026-10-23).
Analyzes up to 200 vendor evaluation records to produce a duplicate key report and IQR-based outlier flags for supplied_score or maximum_score fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags for supplied vendor evaluation records (supplied_score, maximum_score). 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) a duplicate key report identifying records with repeated row_id, company_group, or date combinations, and (2) IQR outlier flags marking records whose selected field (supplied_score or maximum_score) falls outside the interquartile range boundaries, covering up to 200 input rows.
Example use cases
Procurement data quality audit
“I have 120 vendor evaluation records from our Q3 procurement cycle with row IDs, company groups, dates, supplied scores, and maximum scores. Can you check these for any duplicate row IDs and flag any supplied_score values that look like outliers using IQR?”
Supplier scoring anomaly detection
“Before I finalize our vendor rankings, can you scan these 80 supplier evaluation entries for duplicate keys and flag any maximum_score values that fall outside the normal IQR range? I want to catch data entry errors before the board presentation.”
Multi-group vendor benchmark validation
“We collected evaluation scores from 5 company groups across 150 vendor records. Can you run a duplicate key report and IQR outlier check on the supplied_score field so I know which entries are suspicious before we do the final analysis?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline statistical data-quality checks on vendor evaluation records — specifically duplicate key detection and IQR-based outlier flagging — without any external lookups, live data fetches, or ML predictions. Ideal for pre-analysis data validation pipelines processing up to 200 rows at a time where cost efficiency ($0.01 for both reports) and deterministic local analytics are priorities.
Side effects
- More than 200 rows submitted — request rejected with row count error
- Missing required fields (row_id, date, supplied_score, maximum_score) — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Empty rows array — minimum 1 item constraint violation
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Invalid field enum value (not supplied_score or maximum_score) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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