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Simulation Caches — Base-100 Series + Keyed Dataset Comparison
x402
Simulation Caches — Base-100 Series + Keyed Dataset Comparison 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 two analytical reports on supplied simulation cache records: a Base-100 index series and a keyed dataset comparison, for up to 200 rows across cache_gb and simulation_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison 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) a Base-100 index series normalizing the selected field (cache_gb or simulation_seconds) relative to a baseline value across all rows, and (2) a keyed dataset comparison aligning the primary and secondary datasets by row_id to surface differences. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Benchmarking cache growth across periods
“I have simulation cache records from Q3 and Q4, each with row_id, asset_group, date, cache_gb, and simulation_seconds. Can you index the cache_gb values to a Base-100 series and compare the two quarters side by side using the keyed comparison report?”
Comparing simulation runtimes between asset groups
“I've got two datasets of simulation cache logs — one for group-a and one for group-b — and I want to see a Base-100 index of simulation_seconds plus a keyed comparison to spot where the runtimes diverge. Can you run both reports on the simulation_seconds field?”
Auditing cache allocation drift over time
“We have up to 150 rows of simulation cache data from two different environments, and I need a Base-100 series on cache_gb alongside a keyed dataset comparison so I can see which keys drifted the most. Can you run those two reports for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two structured simulation cache datasets (up to 200 rows each) and need both a Base-100 normalization series and a keyed side-by-side comparison in a single call. It is ideal for offline/supplied-data analytics where no live data fetch, prediction, or external enrichment is needed, and where cost efficiency matters ($0.01 for both reports together).
Side effects
- More than 200 rows supplied — request will be rejected or truncated
- Missing required row fields (row_id, asset_group, date, cache_gb, simulation_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'cache_gb' or 'simulation_seconds' — enum error
- Null values in the selected numeric field may produce incomplete index calculations
- Mismatched row_ids between primary and comparison datasets may result in empty keyed comparison
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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