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Simulation Caches String Normalisation and Duplicate Key Report
x402
Simulation Caches String Normalisation and Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs string normalisation and duplicate key detection reports on up to 200 simulation cache records (cache_gb, simulation_seconds) using local analytical engines — no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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 string normalisation report showing standardised/cleaned string values for the supplied rows, and (2) a duplicate key report identifying which row_id or key combinations appear more than once across the up to 200 submitted simulation cache records.
Example use cases
Duplicate cache entry audit
“I have a batch of simulation cache records with fields like row_id, asset_group, date, cache_gb, and simulation_seconds — can you run a duplicate key report on them so I can see which entries are repeated?”
Asset group string cleanup
“Some of my asset_group values in the simulation cache table might have inconsistent capitalisation or whitespace — can you run a string normalisation report on these 150 rows so I get clean, standardised values back?”
Pre-pipeline cache data validation
“Before I feed this simulation cache data into our pipeline, can you check the 80 rows for both duplicate keys and any string normalisation issues across the asset_group and date fields?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline string normalisation and duplicate key detection specifically on simulation cache records (cache_gb, simulation_seconds) without any external lookups or live data access. It is ideal for pre-pipeline data quality checks on small-to-medium batches (up to 200 rows) at minimal cost ($0.01 USDC for both reports). Prefer alternatives if you need prediction, enrichment, grouping summaries, or weighted means on the same data.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, asset_group, date, cache_gb, or simulation_seconds) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range for cache_gb or simulation_seconds — rejected
- Empty rows array — minItems:1 constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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