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Simulation Caches Duplicate Key Report + IQR Outlier Flags
x402
Simulation Caches 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 2026-10-21).
Analyzes supplied simulation cache records to produce a duplicate key report and IQR-based outlier flags for cache_gb or simulation_seconds fields, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags for supplied simulation caches records (cache_gb, simulation_seconds). 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 key combinations, and (2) IQR-based outlier flags for the selected numeric field (cache_gb or simulation_seconds), covering up to 200 input rows. No external lookups or predictions are made — analysis is performed locally on the supplied data.
Example use cases
Simulation cache deduplication audit
“I have a batch of simulation cache records with row_id, asset_group, date, cache_gb, and simulation_seconds — can you run a duplicate key report and flag any cache_gb outliers using IQR on all 120 rows?”
Outlier detection in simulation runtime
“Can you analyze these 80 simulation records and flag any statistical outliers in simulation_seconds using the IQR method, and also tell me if there are any duplicate keys?”
Data quality check before pipeline ingestion
“Before I ingest these simulation cache records into our pipeline, can you check all 200 rows for duplicate row IDs and flag any cache_gb values that look like outliers based on IQR?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and IQR-based statistical outlier flagging on simulation cache records (cache_gb, simulation_seconds) in a single low-cost call. Ideal for data quality audits before pipeline ingestion, when working with up to 200 rows of structured simulation data and needing fast, local analytical results without external data dependencies.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in numeric fields may reduce outlier detection accuracy
- Empty or single-row input may produce trivial or empty reports
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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