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Simulation Caches — Numeric Row Ordering + Base-100 Series
x402
Simulation Caches — Numeric Row Ordering + Base-100 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).
Ranks simulation cache records by a chosen numeric field and computes a base-100 index series for up to 200 supplied rows across cache_gb and simulation_seconds metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 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 on the supplied simulation cache rows: (1) a numeric row ordering (ranked list of rows sorted by the chosen field, either cache_gb or simulation_seconds), and (2) a base-100 index series normalizing that field's values relative to the chosen base row. Covers up to 200 input rows using local analytical engines with no external data lookups.
Example use cases
Cache size ranking across asset groups
“I have four simulation cache records for group-a and group-b across October — cache sizes are 10, 20, 15, and 30 GB. Can you rank them by cache_gb and produce a base-100 index series starting from position 0?”
Simulation runtime performance indexing
“Rank my simulation run records by simulation_seconds and give me a base-100 index series. I have rows: row-1 took 1 second, row-2 took 2 seconds, row-3 took 3 seconds, row-4 took 4 seconds, all dated from 2026-10-01 through 2026-10-04.”
Multi-group cache trend normalization
“I need both a numeric ordering report and a base-100 index for cache_gb across my simulation cache data — I've got 8 rows split between group-a and group-b spanning two weeks, and I want to see the relative scale with base_index set to 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records with cache_gb and/or simulation_seconds values and need both a ranked ordering and a base-100 normalized index series in a single low-cost call ($0.01 USDC). It is purely analytical — no live data, no predictions — making it ideal for offline batch analysis of simulation performance data. Prefer it over general-purpose analytics tools when you specifically need numeric ranking paired with base-100 indexing for simulation cache metrics.
Side effects
- Fewer than 1 row supplied — minItems violation returns a validation error
- More than 200 rows supplied — maxItems limit exceeded
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in the selected numeric field may affect ranking and index computation
- base_index exceeds number of rows minus one — out-of-range error
- field value not one of 'cache_gb' or 'simulation_seconds' — enum validation error
- Missing required row fields (row_id, asset_group, date) cause request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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