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Simulation Caches — Numeric Row Ordering + Daily Sum Series
x402
Simulation Caches — Numeric Row Ordering + Daily Sum Series 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).
Computes numeric row ordering and daily sum series for simulation cache records (cache_gb, simulation_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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 for the supplied rows: (1) a numeric row ordering ranking each record by the selected field (cache_gb or simulation_seconds), and (2) a daily sum series aggregating the selected field's values by date — both derived entirely from the supplied input data with no external lookups.
Example use cases
Rank simulation runs by cache size
“I have a list of 50 simulation cache records with dates, asset groups, and cache_gb values — can you rank them numerically by cache_gb and also give me the daily total cache used across all runs for each date?”
Daily simulation time aggregation
“Here are 120 simulation records spanning the last quarter, each with a date and simulation_seconds value. Give me a numeric ordering of the rows by simulation_seconds and a daily sum series so I can see which days had the highest total compute time.”
Asset group cache usage summary
“I need to analyze cache usage for two asset groups over October. Can you take my 40 simulation records, rank them by cache_gb, and show me the daily totals for cache_gb so I can spot the heaviest usage days?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-114?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records and need both a ranked ordering of rows by a numeric metric AND a daily time-series sum — all computed offline from your supplied data. Ideal for simulation workload analysis, cache capacity planning, or daily usage trending without any external data dependency.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, asset_group, cache_gb, simulation_seconds) on any row — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Null values for the selected numeric field across all rows — may produce empty or degenerate aggregation
- Payment not completed or insufficient USDC — 402 response blocking execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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