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Simulation Caches — Numeric Distribution + Date by Category Pivot
x402
Simulation Caches — Numeric Distribution + Date by Category Pivot 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 (numeric distribution and date-by-category pivot) for user-supplied simulation cache records covering cache_gb and simulation_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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 numeric distribution report showing statistical breakdown (e.g. min, max, mean, percentiles, histogram bins) of the selected numeric field (cache_gb or simulation_seconds), and (2) a date-by-category pivot table showing the selected field aggregated by date and asset_group category. Both reports are computed locally on the supplied data (up to 200 rows) with no external lookups.
Example use cases
Cache size distribution across simulation runs
“I have 50 simulation run records with asset groups like 'gpu-cluster' and 'cpu-farm', dates across last quarter, and cache_gb values ranging from 5 to 400 — can you run a numeric distribution and a date-by-category pivot on the cache_gb field so I can see how storage is spread across groups over time?”
Simulation duration analysis by team
“My team logged 120 simulation jobs across groups 'team-alpha', 'team-beta', and 'team-gamma' with dates in 2025 and simulation_seconds ranging from 60 to 86400 — please generate both the numeric distribution and the date pivot for the simulation_seconds field so we can spot outliers and trends.”
Monthly cache footprint review by environment
“I've got 180 simulation cache records from our three environments — 'prod', 'staging', and 'dev' — with daily dates in October and cache_gb values between 1 and 500 — run the numeric distribution and date-by-category pivot on cache_gb so I can report on monthly storage usage per environment.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-083?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have simulation cache tabular data (up to 200 rows) with cache_gb and simulation_seconds metrics grouped by asset_group and date, and you need both a numeric distribution analysis and a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer this over general-purpose analytics tools when you want a self-contained, payment-gated analytical computation on supplied data without needing an external data warehouse or BI tool.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, asset_group, date) per row causes rejection
- Numeric values outside the allowed range trigger boundary errors
- Invalid field enum value (not cache_gb or simulation_seconds) returns error
- Payment of 0.01 USDC not fulfilled causes 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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