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Simulation Caches String Normalisation and Two-Measure Correlation
x402
Simulation Caches String Normalisation and Two-Measure Correlation 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 two-measure Pearson/rank correlation analysis on up to 200 simulation cache records (cache_gb vs simulation_seconds), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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
Two independent analytical reports covering: (1) normalized string representations of asset_group labels, and (2) a two-measure correlation analysis between cache_gb and simulation_seconds across all submitted rows (up to 200). Results are computed locally using shared analytical engines with no external lookups or predictions.
Example use cases
Cache size vs runtime correlation
“I have 50 simulation runs tagged by asset group with dates — can you normalize the group name strings and tell me how strongly cache_gb correlates with simulation_seconds across all of them?”
Multi-group simulation performance audit
“We ran simulations for two asset groups over the past month — can you take these 120 rows of cache_gb and simulation_seconds readings, normalize the group labels, and give me two correlation reports showing how cache size relates to runtime?”
Small-scale simulation data validation
“I've got 8 simulation cache records for group-alpha and group-beta from last week. Can you normalize the group name strings and compute the correlation between cache size in GB and simulation duration in seconds for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical labels and correlation analysis between exactly two numeric measures (cache_gb and simulation_seconds) on simulation cache data in a single low-cost call. It is ideal for small-to-medium datasets up to 200 rows where you want two bundled reports without making separate API calls or using heavyweight analytics platforms.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array causes an error
- Payment of 0.01 USDC not provided results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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