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Simulation Caches — String Normalisation + Numeric Row Ordering
x402
Simulation Caches — String Normalisation + Numeric Row Ordering 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).
Normalises string fields and applies numeric row ordering to simulation cache records (cache_gb, simulation_seconds), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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: one covering string normalisation of text fields (such as asset_group) and one providing numeric row ordering for the selected measure (cache_gb or simulation_seconds), covering all supplied rows up to 200. No external data is fetched; all analysis is performed on the submitted records.
Example use cases
Rank simulation jobs by cache size
“I've got 80 simulation cache entries with asset groups like 'group-a' and 'group-b', dates in 2026, and cache_gb values ranging from 5 to 500 — can you normalise the string fields and rank all rows by cache_gb so I can see which simulations are consuming the most cache?”
Order simulation runs by runtime duration
“I need to sort my simulation records by simulation_seconds to find the longest-running jobs — I have 120 rows with row IDs, asset groups, dates, and both cache_gb and simulation_seconds filled in. Please normalise the strings and give me numeric row ordering on simulation_seconds.”
Audit and rank mixed asset group cache records
“My simulation dataset has 40 rows across several asset groups with inconsistent capitalisation — can you normalise the asset_group strings and then rank all rows numerically by cache_gb so the output is clean and ordered for my report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical processing of simulation cache records — specifically string normalisation of categorical fields and numeric ordering of cache_gb or simulation_seconds — without requiring any external lookups, predictions, or live data. Ideal for small-to-medium datasets (up to 200 rows) where you want two tidy reports cheaply ($0.01 USDC) and quickly.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Numeric fields outside allowed range cause validation failure
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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