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Simulation Caches — Grouped Numeric Summary + Daily Sum Series
x402
Simulation Caches — Grouped Numeric Summary + 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 2026-10-21).
Generates two analytical reports — a grouped numeric summary and a daily sum time series — for supplied simulation cache records (cache_gb, simulation_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Grouped numeric summary + Daily sum series: Grouped numeric summary + 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 independent analytical reports: (1) a grouped numeric summary showing statistical aggregates (e.g. mean, min, max, count) of the selected field (cache_gb or simulation_seconds) broken down by asset_group, and (2) a daily sum time series showing the total value of the selected field per date across all supplied rows. Up to 200 input rows are supported per call.
Example use cases
Daily cache storage trend analysis
“Here are my simulation cache records for the past week across two asset groups — can you generate a daily sum series for cache_gb so I can see how total storage is trending day by day? Rows: row-1 (2026-10-01, group-a, 12 GB, 5s), row-2 (2026-10-02, group-b, 25 GB, 8s), row-3 (2026-10-03, group-a, 18 GB, 6s).”
Group-level simulation resource breakdown
“I want to compare how much cache storage and simulation time each asset group is consuming — run a grouped numeric summary on the simulation_seconds field for these records: row-1 (2026-11-01, team-alpha, 50 GB, 120s), row-2 (2026-11-02, team-beta, 80 GB, 300s), row-3 (2026-11-03, team-alpha, 60 GB, 200s), row-4 (2026-11-04, team-beta, 90 GB, 450s).”
Monthly simulation cache audit rollup
“Can you produce a grouped numeric summary and daily sum series for my monthly simulation cache logs? Use cache_gb as the target field. Here are the rows: row-1 (2026-09-01, cluster-x, 5 GB, 10s), row-2 (2026-09-02, cluster-y, 15 GB, 20s), row-3 (2026-09-03, cluster-x, 8 GB, 15s), row-4 (2026-09-04, cluster-y, 22 GB, 35s), row-5 (2026-09-05, cluster-x, 11 GB, 18s).”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-089?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular simulation cache records keyed by asset group and date, and need both a group-level statistical summary and a day-level sum series in a single low-cost call ($0.01 USDC). It is ideal for offline batch analysis of up to 200 rows where no live data lookup, prediction, or external action is needed — just fast local analytical computation on supplied data.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected (maxItems limit)
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, asset_group, date) — schema validation failure
- Invalid field enum value (not cache_gb or simulation_seconds) — rejected
- Null numeric values in cache_gb or simulation_seconds may affect aggregate accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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