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Simulation Caches — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Simulation Caches — Adjacent Row Changes + Secondary-Measure Weighted Mean 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).
Computes adjacent row changes and secondary-measure weighted mean analytics on up to 200 simulation cache records (cache_gb, simulation_seconds) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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: (1) adjacent row changes showing the delta in the selected field (cache_gb or simulation_seconds) between consecutive rows, and (2) a secondary-measure weighted mean where the chosen field is weighted by the other measure — all computed locally without external lookups, for up to 200 input rows.
Example use cases
Cache growth delta monitoring
“Here are 50 rows of daily simulation cache records with cache_gb and simulation_seconds — run the adjacent row changes report on cache_gb so I can see how storage is growing or shrinking day to day.”
Weighted average simulation time analysis
“I have simulation records across two asset groups over the past month. Can you compute the secondary-measure weighted mean on simulation_seconds weighted by cache_gb to understand average simulation duration weighted by cache load?”
Dual analytics report for capacity planning
“Run both the adjacent row changes and secondary-measure weighted mean reports on my 120-row simulation cache dataset — asset groups are 'gpu-cluster' and 'cpu-batch', dates range from 2026-01-01 to 2026-04-30, and I want to analyze cache_gb.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records and need both row-over-row change detection and a weighted mean computation in a single API call. It is best suited for lightweight, offline analytical tasks on supplied data rather than real-time lookups or predictive modeling. Prefer this over building custom analytics when you need two specific statistical reports — adjacent delta and weighted mean — on cache_gb and simulation_seconds fields at minimal cost.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Invalid field enum value (must be 'cache_gb' or 'simulation_seconds')
- Payment of 0.01 USDC not provided or fails x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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