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Simulation Caches — String Normalisation + Grouped Numeric Summary
x402
Simulation Caches — String Normalisation + Grouped Numeric Summary 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).
Normalises string fields and produces grouped numeric summaries for simulation cache records containing cache_gb and simulation_seconds metrics, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 string normalisation report on the asset_group field, cleaning and standardising values across supplied rows, and (2) a grouped numeric summary of the selected numeric field (cache_gb or simulation_seconds) aggregated by asset_group, including descriptive statistics per group. All computed locally from supplied data with no external lookups.
Example use cases
Cache usage summary by asset group
“I have 150 simulation cache records with fields row_id, asset_group, date, cache_gb, and simulation_seconds — can you normalise the asset_group strings and produce a grouped numeric summary of cache_gb so I can see how cache usage breaks down per group?”
Simulation duration analysis across groups
“Here are my simulation cache logs with asset groups and simulation_seconds values for about 80 rows — please normalise the group name strings and generate a grouped summary on simulation_seconds so I can compare simulation durations across asset groups.”
Data quality cleanup for cache records
“I need to clean up my simulation cache dataset: normalise any messy asset_group strings and then give me a grouped numeric breakdown of cache_gb — I have around 50 records with dates, row IDs, cache sizes, and simulation seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical/group labels AND grouped numeric aggregation on simulation cache data (cache_gb or simulation_seconds) in a single call. It is ideal for small-to-medium datasets (up to 200 rows) where you want two distinct analytical reports from a single low-cost request without requiring an external analytics pipeline or database.
Side effects
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause validation errors
- Exceeding 200 rows returns an error — input must be trimmed to the limit
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Null values in both numeric fields may degrade summary quality
- Non-numeric values in cache_gb or simulation_seconds outside allowed range cause schema rejection
- Payment failure or insufficient USDC balance prevents call execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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