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Simulation Caches — Adjacent Row Changes + Two-Measure Correlation
x402
Simulation Caches — Adjacent Row Changes + 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 2026-10-21).
Analyzes simulation cache records by computing adjacent row changes and two-measure correlation between cache_gb and simulation_seconds for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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
Returns two analytical reports derived from the supplied rows: (1) an adjacent row changes report showing sequential deltas for the selected field (cache_gb or simulation_seconds), and (2) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across the dataset. No external lookups or predictions are made; all analysis uses local engines on the supplied data.
Example use cases
Cache size vs simulation time correlation
“I have 120 rows of daily simulation cache data with cache_gb and simulation_seconds per asset group — can you compute the correlation between cache size and simulation time, and also show me the row-by-row changes for cache_gb?”
Detecting anomalous jumps in cache usage
“I want to see adjacent row changes in my simulation cache records so I can spot sudden spikes — here are 80 rows with dates, asset groups, cache_gb, and simulation_seconds. Run the adjacent changes report focusing on cache_gb.”
Multi-group simulation performance analytics
“We track simulation_seconds and cache_gb across two asset groups over 6 months — can you run both an adjacent row delta report and a two-measure correlation on this 150-row dataset to see if cache size predicts simulation duration?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular simulation cache records (with cache_gb and simulation_seconds columns) and need both sequential delta analysis and a statistical correlation between the two measures in a single call. It is well-suited for batch analytical workflows on up to 200 rows of time-stamped, group-labeled simulation data where no live data fetching or external prediction is needed.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, date, cache_gb, simulation_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in numeric fields may affect correlation calculation
- Payment of 0.01 USDC not processed — 402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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