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Simulation Caches — Exact Row Deduplication + Numeric Interval Filter
x402
Simulation Caches — Exact Row Deduplication + Numeric Interval Filter 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).
Deduplicates simulation cache records exactly and filters them by a numeric interval (cache_gb or simulation_seconds), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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) an exact row deduplication report identifying duplicate records across the supplied simulation cache rows, and (2) a numeric interval filter report listing only rows where the selected numeric field (cache_gb or simulation_seconds) falls within the specified minimum–maximum range. Both reports are derived from the supplied data with no external lookups.
Example use cases
Clean duplicate simulation cache entries
“I've got a batch of simulation cache records (row_id, asset_group, date, cache_gb, simulation_seconds) and I need to find exact duplicates and also filter down to only those with cache_gb between 10 and 100. Can you run both reports on this dataset?”
Filter simulations by runtime seconds range
“Can you take my simulation cache dataset and give me a deduplication report plus filter the simulation_seconds field to only show rows between 30 and 3600 seconds? I have about 150 rows to analyze.”
Validate cache footprint within budget bounds
“I need to audit our simulation runs — please deduplicate the records exactly and flag only the entries where cache_gb falls between 0 and 20, so I can see what's within our storage budget. Here are the rows with date, row_id, asset_group, cache_gb, and simulation_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-043?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have simulation cache tabular data (up to 200 rows) and need both exact deduplication and numeric range filtering in a single API call. It is ideal for data quality checks on simulation cache logs where you want to identify repeated records and isolate entries within a specific cache_gb or simulation_seconds range simultaneously. Prefer this over generic data tools when working specifically with the simulation cache schema (cache_gb, simulation_seconds, asset_group) and needing two structured analytical outputs for a flat fee.
Side effects
- Fewer than 1 row submitted — violates minItems constraint
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- Field value outside allowed numeric range (±1,000,000,000,000) — schema validation error
- Unknown field enum value for 'field' parameter — rejected by enum constraint
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) on any row — validation error
- minimum greater than maximum — may produce empty interval filter results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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